CN109920418B - Method and device for adjusting awakening sensitivity - Google Patents
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Abstract
The present disclosure provides a method and apparatus for adjusting wake-up sensitivity. The method comprises the following steps: acquiring preset parameter information in the surrounding environment of voice equipment, wherein the preset parameter information comprises: the target awakening sensitivity of the voice equipment is adjusted according to the preset parameter information by the aid of the user activity data and/or the environment time, so that the target awakening sensitivity of the voice equipment is dynamically adjusted according to the preset parameter information, requirements of users on awakening sensitivity of the intelligent sound box in different use scenes are met, and user experience is improved.
Description
Technical Field
The present disclosure relates to the field of computer communication technologies, and in particular, to a method and an apparatus for adjusting wake-up sensitivity.
Background
And part of the intelligent sound boxes have a wake-up function, and a user wakes up the intelligent sound boxes by speaking the wake-up word keywords to the intelligent sound boxes.
At present, an awakening model is preset in an intelligent sound box, the intelligent sound box collects environmental sound when being in a sleep mode, the collected environmental sound is input into the preset awakening model, the probability that the environmental sound comprises an awakening keyword is obtained, the obtained probability is compared with preset awakening sensitivity in size, the intelligent sound box is awakened when the probability is larger than or equal to the preset awakening sensitivity under a common condition, and the intelligent sound box is not awakened when the probability is smaller than the preset awakening sensitivity.
The awakening sensitivity of the intelligent sound box used in the related technology is fixed, so that the requirement of a user on the awakening sensitivity of the intelligent sound box in different use scenes cannot be met, and the user experience is poor.
Disclosure of Invention
In view of this, the present disclosure provides a method and an apparatus for adjusting wake-up sensitivity, in which preset parameter information in an ambient environment of a voice device is obtained, and a target wake-up sensitivity of the voice device is dynamically adjusted according to the preset parameter information, so that a user's requirement for wake-up sensitivity of a smart speaker in different usage scenarios is met, and user experience is improved.
According to a first aspect of embodiments of the present disclosure, there is provided a method for adjusting wake-up sensitivity, the method including:
acquiring preset parameter information in the surrounding environment of voice equipment, wherein the preset parameter information comprises: user activity data and/or ambient time;
and adjusting the target awakening sensitivity of the voice equipment according to the preset parameter information.
Optionally, the preset parameter information includes: when the user activity data is obtained, the obtaining of the preset parameter information in the surrounding environment of the voice device includes:
determining the preset parameter information according to network flow data monitored by a router connected with the voice equipment; and/or
And determining the preset parameter information according to the collected sound information in the surrounding environment of the voice equipment.
Optionally, the adjusting the target wake-up sensitivity of the voice device according to the preset parameter information includes:
acquiring a wakeup sensitivity weight value corresponding to each preset parameter information;
and determining the target awakening sensitivity according to the acquired awakening sensitivity weight values and a preset algorithm.
Optionally, the determining the target wake-up sensitivity according to the obtained respective wake-up sensitivity weight values and a preset algorithm includes:
adding all the awakening sensitivity weight values to obtain a total awakening sensitivity weight value;
multiplying the total awakening sensitivity weight value and the default awakening sensitivity to obtain an awakening sensitivity variable quantity;
and adding the default awakening sensitivity and the awakening sensitivity variable quantity to obtain the awakening sensitivity.
Optionally, the adjusting the target wake-up sensitivity of the voice device according to the preset parameter information includes:
searching a target preset parameter information condition which is met by each preset parameter information from a plurality of preset parameter information conditions;
and acquiring the target awakening sensitivity corresponding to the target preset parameter information condition.
Optionally, the method is applied to the voice device, and the adjusting the target wake-up sensitivity of the voice device according to the preset parameter information includes:
sending the preset parameter information to a management server connected with the voice equipment;
and receiving the target awakening sensitivity determined by the management server according to the preset parameter information.
According to a second aspect of the embodiments of the present disclosure, there is provided an apparatus for adjusting wake-up sensitivity, the apparatus including:
the acquisition module is configured to acquire preset parameter information in the surrounding environment of the voice device, wherein the preset parameter information comprises: user activity data and/or ambient time;
an adjusting module configured to adjust a target wake-up sensitivity of the voice device according to the preset parameter information.
Optionally, the obtaining module includes:
a first determining sub-module configured to, when the preset parameter information includes: when the user activity data is received, determining the preset parameter information according to the network flow data monitored by the router connected with the voice equipment; and/or
The second determining submodule is configured to determine the preset parameter information according to the collected sound information in the surrounding environment of the voice device.
Optionally, the adjusting module includes:
the first obtaining submodule is configured to obtain a wake-up sensitivity weight value corresponding to each preset parameter information;
and the first obtaining submodule is configured to determine the target awakening sensitivity according to the acquired awakening sensitivity weight values and a preset algorithm.
Optionally, the first obtaining sub-module includes:
a first deriving unit configured to add all the wake-up sensitivity weight values to derive a total wake-up sensitivity weight value;
a second obtaining unit configured to multiply the total wake-up sensitivity weight value and a default wake-up sensitivity to obtain a wake-up sensitivity variation;
a third obtaining unit configured to add the default wake-up sensitivity and the wake-up sensitivity variation to obtain the wake-up sensitivity.
Optionally, the adjusting module includes:
the searching sub-module is configured to search a target preset parameter information condition which is met by each preset parameter information from a plurality of preset parameter information conditions;
and the second obtaining submodule is configured to obtain the target awakening sensitivity corresponding to the target preset parameter information condition.
Optionally, the adjusting module includes:
a transmission sub-module configured to transmit the preset parameter information to a management server connected to the voice device when the apparatus is applied to the voice device;
a receiving submodule configured to receive the target wake-up sensitivity determined by the management server according to the preset parameter information.
According to a third aspect of embodiments of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of the above first aspects.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an apparatus for adjusting wake-up sensitivity, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring preset parameter information in the surrounding environment of voice equipment, wherein the preset parameter information comprises: user activity data and/or ambient time;
and adjusting the target awakening sensitivity of the voice equipment according to the preset parameter information.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
in this disclosure, preset parameter information in the surrounding environment of the voice device is obtained, where the preset parameter information includes: the target awakening sensitivity of the voice equipment is adjusted according to the preset parameter information, so that the awakening sensitivity of the voice equipment is dynamically adjusted, the requirements of a user on the awakening sensitivity of the intelligent sound box in different use scenes are met, and the user experience is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
FIG. 1 is a flow chart illustrating a method of adjusting wake-up sensitivity according to an exemplary embodiment;
FIG. 2 is a flow chart illustrating another method of adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 3 is a flow chart illustrating another method of adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 4 is a flow chart illustrating another method of adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 5 is a flow chart illustrating another method of adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 6 is a block diagram illustrating an apparatus for adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 7 is a block diagram illustrating another apparatus for adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 8 is a block diagram illustrating another apparatus for adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 9 is a block diagram illustrating another apparatus for adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 10 is a block diagram illustrating another apparatus for adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 11 is a block diagram illustrating another apparatus for adjusting wake-up sensitivity in accordance with an exemplary embodiment;
FIG. 12 is a schematic diagram illustrating an architecture for adjusting wake-up sensitivity in accordance with an exemplary embodiment;
fig. 13 is a schematic diagram illustrating another apparatus for adjusting wake-up sensitivity according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The present disclosure provides a method for adjusting wake-up sensitivity, which can be applied to a terminal having a function of determining wake-up sensitivity of a voice device.
Fig. 1 is a flowchart illustrating a method for adjusting wake-up sensitivity according to an exemplary embodiment, where the method illustrated in fig. 1 is applied to a terminal, and the terminal may be a voice device or a management server for managing the voice device, and the method for adjusting wake-up sensitivity illustrated in fig. 1 includes the following steps:
in step 101, preset parameter information in the surrounding environment of the voice device is obtained, where the preset parameter information includes: user activity data and/or ambient time.
The voice equipment in the embodiment of the disclosure has a wake-up function, and besides, can also have functions of making a call, requesting a song and the like. The voice devices are various, such as a smart sound box, a smart television and the like.
In the using process of the voice equipment, acquiring preset parameter information in the surrounding environment of the voice equipment, wherein the preset parameter information comprises: user activity data and/or ambient time. The user activity data is of various kinds, for example, the user activity data may comprise at least one of: and network flow data and sound information monitored by a router connected with the voice equipment.
The network traffic data size can reflect the network use condition of the user, and further reflect the activity condition of the user. In general, when the network traffic data is large, the user activity is frequently reflected, and when the network traffic data is small, the user activity is infrequently reflected.
The sound information may originate from sound emitted by the user and/or an object used by the user; the sound information is various, for example, the sound frequency, the sound intensity, and the like within a preset time period. When the sound information originates from a sound emitted by a user, the sound information may include at least one of: the sound frequency, the sound frequency and the sound intensity of the user in the preset time period. The terminal can acquire the voice message and acquire the voice information according to the voice message, and in operation, the terminal can acquire the voice information according to the voice message by adopting a voiceprint technology.
When the preset parameter information includes user activity data and the user activity data includes network traffic data monitored by a router connected to the voice device, the operation of acquiring the preset parameter information in the environment around the voice device may be implemented in the following manner: and determining preset parameter information according to network flow data monitored by a router connected with the voice equipment.
The router connected with the voice equipment has the function of monitoring network flow data, and the router provides a preset interface for other equipment to obtain the monitored network flow data from the router. When the method for adjusting the wake-up sensitivity provided by the embodiment of the disclosure is applied to a management server corresponding to a voice device, the management server may obtain monitored network traffic data from a router.
When the method for adjusting wake-up sensitivity provided by the embodiment of the present disclosure is applied to a voice device, the voice device may send a traffic data acquisition instruction to a management server, where the traffic data acquisition instruction is used to acquire network traffic data monitored by a router connected to the voice device, trigger the management server to acquire the network traffic data monitored by the router from the router connected to the voice device according to the traffic data acquisition instruction, and send the acquired network traffic data to the management server; and secondly, receiving the network traffic data sent by the management server.
When the preset parameter information includes user activity data and the user activity data includes sound information in the surrounding environment of the voice device, the operation of acquiring the preset parameter information in the surrounding environment of the voice device may be implemented by: and determining preset parameter information according to the collected sound information in the surrounding environment of the voice equipment.
When the method for adjusting the wake-up sensitivity provided by the embodiment of the disclosure is applied to the voice device, the voice device can collect the voice message in the surrounding environment and determine the sound information in the surrounding environment according to the voice message. When the method for adjusting the wake-up sensitivity provided by the embodiment of the present disclosure is applied to a management server, the management server may receive a voice message collected and sent by a voice device, and determine sound information in a surrounding environment according to the voice message, or the management server may receive sound information sent by the voice device and determined by the voice device.
When the preset parameter information includes user activity data, and the user activity data includes: when the router connected to the voice device monitors network traffic data and sound information in the surrounding environment of the voice device, the operation of acquiring preset parameter information in the surrounding environment of the voice device may be implemented in the following manner: and determining preset parameter information according to the network flow data and the sound information.
In step 102, the target wake-up sensitivity of the voice device is adjusted according to the preset parameter information.
After the terminal acquires the preset parameter information, the target awakening sensitivity matched with the preset parameter information is determined according to the acquired preset parameter information, and the target awakening sensitivity can be used as a new sensitivity of the voice equipment, so that the awakening sensitivity of the voice equipment can be dynamically adjusted according to the preset parameter information.
For example, the voice device and the router are arranged in a home room, when the preset parameter information includes network traffic data and user sound frequency monitored by the router connected with the voice device, if the terminal judges that the network traffic data is smaller than a preset traffic data threshold, the preset traffic data threshold can be a certain small value approaching zero, and when the user sound frequency is smaller than a frequency threshold, it is determined that all the people in the home have a rest, and at the moment, the awakening sensitivity of the voice device can be reduced, so that the awakening rate of the voice device is reduced, and the rest of the people is ensured; and then, if the terminal judges that the network flow data is greater than or equal to the preset flow data threshold value and the user sound frequency is greater than or equal to the frequency threshold value, determining that the family uses the network, and improving the awakening sensitivity of the voice equipment so as to facilitate the use of the voice equipment by personnel.
Based on the settings in the steps 101 and 102, the awakening sensitivity of the voice equipment is dynamically set according to the preset parameter information in the surrounding environment of the voice equipment.
The voice equipment awakening method based on the voice model has the advantages that the fixed awakening sensitivity is set for the voice equipment in the related technology, the awakening sensitivity is often increased for improving the awakening rate of the voice equipment, and the voice model is likely to determine noise similar to the awakening keyword as the awakening keyword, so that the awakening sensitivity is increased to cause higher false awakening rate and poorer user experience. According to the embodiment of the disclosure, the awakening sensitivity of the voice equipment is dynamically set according to the preset parameter information in the surrounding environment of the voice equipment, so that the requirements of a user on the awakening sensitivity of the voice equipment in different use scenes are met, the false awakening rate of the voice equipment is reduced, and the user experience is improved.
In an alternative embodiment, the preset parameter information may comprise user activity data and/or ambient time, and the user activity data may comprise one or more data, for example, the user activity data comprises at least one of: the router connected with the voice device monitors network traffic data, user sound frequency and user sound intensity, so that the preset parameter information can include one or more kinds of information.
Referring to fig. 2, which is a flowchart illustrating another method for processing voice information according to an exemplary embodiment, the operation of the terminal adjusting the target wake-up sensitivity of the voice device according to the preset parameter information may be implemented as follows: in step 1021, acquiring a wake-up sensitivity weight value corresponding to each preset parameter information; in step 1022, a target wake-up sensitivity is determined according to the obtained respective wake-up sensitivity weight values and a preset algorithm.
For the preset parameter information of the same category, the awakening sensitivity weight values corresponding to the preset parameter information of different information ranges may be different. For example, for network traffic data, a plurality of network traffic data ranges may be pre-divided according to the size of the network traffic data, and wake-up sensitivity weight values correspondingly set in different network traffic data ranges are different; for the environmental time, a plurality of environmental time ranges can be pre-divided, the awakening sensitivity weight values correspondingly set in different environmental time ranges are different, for example, the awakening sensitivity weight value correspondingly set in the night time period is smaller, and the awakening sensitivity weight value correspondingly set in the day time period is larger.
After the terminal acquires the preset parameter information, the preset parameter information and the corresponding information ranges can be matched, a target information range to which the preset parameter information belongs is matched, and then a target awakening sensitivity weight value corresponding to the target information range is acquired.
For example, one piece of preset parameter information is ten am, after the terminal determines that ten am falls within the daytime period, the terminal acquires a wakeup sensitivity weight value correspondingly set in the daytime period, and uses the wakeup sensitivity weight value corresponding to the daytime period as the wakeup sensitivity weight value corresponding to the piece of preset parameter information (ten am).
The corresponding awakening sensitivity weight value can be set according to the reference value of each preset parameter information, and the awakening sensitivity weight value can be a positive number or a negative number.
Referring to fig. 3, which is a flowchart illustrating another method for processing voice information according to an exemplary embodiment, the operation of determining the target wake-up sensitivity by the terminal according to the obtained respective wake-up sensitivity weight values and the preset algorithm may be implemented as follows: in step 1022-1, add all wake-up sensitivity weight values to obtain a total wake-up sensitivity weight value; in step 1022-2, the total awakening sensitivity weight value is multiplied by the default awakening sensitivity to obtain an awakening sensitivity variable quantity; in step 1022-3, the default wake-up sensitivity and the wake-up sensitivity variation are added to obtain the wake-up sensitivity.
For example, when the acquired preset parameter information includes: when network traffic data, environment time and other dimension information are received, the terminal can determine the target awakening sensitivity of the voice device through the following formula:
target wake up sensitivity × (1+ network traffic data weight value + ambient time weight value + other dimension information weight value) is default wake up sensitivity.
Based on the settings of the steps 1022-1 to 1022-3, the terminal determines the target awakening sensitivity according to the acquired awakening sensitivity weight values and the preset algorithm, and the terminal functions are enriched.
In an optional embodiment, a plurality of preset parameter information conditions are preset, each preset parameter information condition is a condition set for one or more preset parameter information, the plurality of preset parameter information conditions may be stored locally in the terminal, and the terminal directly extracts the plurality of preset parameter information conditions from the local, or the plurality of preset parameter information conditions may be stored in other devices, and the terminal obtains the plurality of preset parameter information conditions from the other devices.
Referring to fig. 4, which is a flowchart illustrating another method for processing voice information according to an exemplary embodiment, the operation of the terminal adjusting the target wake-up sensitivity of the voice device according to the preset parameter information may be implemented as follows: in step 1023, a target preset parameter information condition that each preset parameter information satisfies is searched for from a plurality of preset parameter information conditions; in step 1024, the target wake-up sensitivity corresponding to the target preset parameter information condition is obtained.
And in step 1023, the preset parameter information acquired by the terminal includes at least one preset parameter information, and after the terminal acquires the at least one preset parameter information, the terminal searches for a target preset parameter information condition that is met by the at least one preset parameter information from a plurality of preset parameter information conditions.
For example, the preset parameter information includes three kinds of information, i.e., network traffic data, user sound frequency, and environment time, and a first preset parameter information condition and a second preset parameter information condition are preset.
The first preset parameter information condition is as follows: the environmental time included by the preset parameter information is between ten o 'clock in the evening and six o' clock in the next morning, the network traffic data included by the preset parameter information is greater than the first traffic data threshold, and the user sound production frequency included by the preset parameter information is greater than the first frequency threshold.
The second preset parameter information condition is as follows: the environmental time included by the preset parameter information is between six morning hours and ten evening hours of the day, the network traffic data included by the preset parameter information is greater than the second traffic data threshold, and the user sound frequency included by the preset parameter information is greater than the second frequency threshold.
Aiming at the step 1024, a wake-up sensitivity is correspondingly set for each preset parameter information condition, that is, the corresponding relationship between different preset parameter information conditions and the wake-up sensitivity is established.
After finding out the target preset parameter information condition, the terminal can find out a target corresponding relationship comprising the target preset parameter information condition from the established corresponding relationships, and determine the target awakening sensitivity corresponding to the target preset parameter information condition according to the target corresponding relationship.
Based on the settings of the steps 1023 to 1024, the terminal determines the target awakening sensitivity according to the obtained awakening sensitivity weight values and the preset algorithm, and the terminal functions are enriched.
In an optional embodiment, when the method provided by the embodiment of the present disclosure is applied to a voice device, referring to fig. 5, which is a flowchart illustrating another method for processing voice information according to an exemplary embodiment, the operation of the terminal adjusting the target wake-up sensitivity of the voice device according to the preset parameter information may be implemented as follows: in step 1025, sending the preset parameter information to a management server connected with the voice equipment; in step 1026, the target wake-up sensitivity determined by the management server according to the preset parameter information is received.
The management server may determine the target wake-up sensitivity of the voice device according to the preset parameter information with reference to the methods shown in fig. 2 to 4.
Based on the settings of the steps 1025 to the step 1026, the terminal sends the preset parameter information to the management server, triggers the management server to determine the target awakening sensitivity according to the preset parameter information, and receives the target awakening sensitivity determined by the management server, so that the terminal functions are enriched.
While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present disclosure is not limited by the order of acts, as some steps may, in accordance with the present disclosure, occur in other orders and concurrently.
Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that acts and modules referred to are not necessarily required by the disclosure.
Corresponding to the embodiment of the application function implementation method, the disclosure also provides an embodiment of an application function implementation device and a corresponding terminal.
Referring to fig. 6, a block diagram of an apparatus for adjusting wake-up sensitivity according to an exemplary embodiment is shown, the apparatus including an acquisition module 21 and an adjustment module 22, wherein:
the obtaining module 21 is configured to obtain preset parameter information in an environment around the voice device, where the preset parameter information includes: user activity data and/or ambient time;
the adjusting module 22 is configured to adjust the target wake-up sensitivity of the voice device according to the preset parameter information.
In an alternative embodiment, referring to fig. 7, which is a block diagram of another apparatus for processing voice information according to an exemplary embodiment, on the basis of the embodiment of the apparatus shown in fig. 6, the obtaining module 21 includes:
a first determining sub-module 211 configured to, when the preset parameter information includes: when the user activity data is received, determining the preset parameter information according to the network flow data monitored by the router connected with the voice equipment; and/or
A second determining submodule 212 configured to determine the preset parameter information according to the collected sound information in the surrounding environment of the speech device.
In an alternative embodiment, referring to fig. 8, which is a block diagram of another apparatus for processing voice information according to an exemplary embodiment, on the basis of the embodiment of the apparatus shown in fig. 6, the adjusting module 22 may include:
a first obtaining sub-module 221 configured to obtain a wake-up sensitivity weight value corresponding to each of the preset parameter information;
a first obtaining sub-module 222, configured to determine the target wake-up sensitivity according to the obtained respective wake-up sensitivity weight values and a preset algorithm.
In an alternative embodiment, referring to fig. 9, which is a block diagram of another apparatus for processing voice information according to an exemplary embodiment, on the basis of the embodiment of the apparatus shown in fig. 8, the first obtaining sub-module 222 includes:
a first deriving unit 2221 configured to add all the wake-up sensitivity weight values to derive a total wake-up sensitivity weight value;
a second obtaining unit 2222 configured to multiply the total wake-up sensitivity weight value by a default wake-up sensitivity to obtain a wake-up sensitivity variation;
a third obtaining unit 2223 configured to add the default wake-up sensitivity and the wake-up sensitivity variation to obtain the wake-up sensitivity.
In an alternative embodiment, referring to fig. 10, which is a block diagram of another apparatus for processing voice information according to an exemplary embodiment, on the basis of the embodiment of the apparatus shown in fig. 6, the adjusting module 22 includes:
a searching sub-module 223 configured to search for a target preset parameter information condition that each of the preset parameter information satisfies from a plurality of preset parameter information conditions;
a second obtaining sub-module 224, configured to obtain the target wake-up sensitivity corresponding to the target preset parameter information condition.
In an alternative embodiment, referring to fig. 11, which is a block diagram of another apparatus for processing voice information according to an exemplary embodiment, on the basis of the embodiment of the apparatus shown in fig. 6, the adjusting module 22 includes:
a transmission sub-module 225 configured to transmit the preset parameter information to a management server connected to the voice device when the apparatus is applied to the voice device;
a receiving submodule 226 configured to receive the target wake-up sensitivity determined by the management server according to the preset parameter information.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. One of ordinary skill in the art can understand and implement it without inventive effort.
Accordingly, in one aspect, an embodiment of the present disclosure provides an apparatus for adjusting wake-up sensitivity, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to:
acquiring preset parameter information in the surrounding environment of voice equipment, wherein the preset parameter information comprises: user activity data and/or ambient time;
and adjusting the target awakening sensitivity of the voice equipment according to the preset parameter information.
Fig. 12 is a schematic diagram illustrating an apparatus 1600 for adjusting wake-up sensitivity according to an exemplary embodiment. For example, apparatus 1600 may be a user device, which may be embodied as a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, a wearable device such as a smart watch, smart glasses, a smart bracelet, a smart running shoe, and the like.
Referring to fig. 12, apparatus 1600 may include one or more of the following components: processing component 1602, memory 1604, power component 1606, multimedia component 1608, audio component 1610, input/output (I/O) interface 1612, sensor component 1614, and communications component 1616.
The processing component 1602 generally controls overall operation of the device 1600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 1602 may include one or more processors 1620 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 1602 can include one or more modules that facilitate interaction between the processing component 1602 and other components. For example, the processing component 1602 can include a multimedia module to facilitate interaction between the multimedia component 1608 and the processing component 1602.
The memory 1604 is configured to store various types of data to support operation at the device 1600. Examples of such data include instructions for any application or method operating on device 1600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1604 may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
A power supply component 1606 provides power to the various components of the device 1600. The power components 1606 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 1600.
The multimedia component 1608 includes a screen that provides an output interface between the apparatus 1600 and a user as described above. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of the touch or slide action but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1608 comprises a front-facing camera and/or a rear-facing camera. The front-facing camera and/or the back-facing camera may receive external multimedia data when device 1600 is in an operational mode, such as a capture mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 1610 is configured to output and/or input an audio signal. For example, audio component 1610 includes a Microphone (MIC) configured to receive external audio signals when apparatus 1600 is in an operational mode, such as a call mode, recording mode, and voice recognition mode. The received audio signal may further be stored in the memory 1604 or transmitted via the communications component 1616. In some embodiments, audio component 1610 further includes a speaker for outputting audio signals.
The I/O interface 1612 provides an interface between the processing component 1602 and peripheral interface modules, such as keyboards, click wheels, buttons, and the like. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The communications component 1616 is configured to facilitate communications between the apparatus 1600 and other devices in a wired or wireless manner. The device 1600 may access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the aforementioned communication component 1616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 1600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, there is also provided a non-transitory computer readable storage medium, such as the memory 1604 comprising instructions that when executed by the processor 1620 of the apparatus 1600, enable the apparatus 1600 to perform a method of adjusting wake up sensitivity, the method comprising:
acquiring preset parameter information in the surrounding environment of voice equipment, wherein the preset parameter information comprises: user activity data and/or ambient time;
and adjusting the target awakening sensitivity of the voice equipment according to the preset parameter information.
The non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
As shown in fig. 13, fig. 13 is a schematic structural diagram of another apparatus 1700 for adjusting wake-up sensitivity according to an exemplary embodiment. For example, the apparatus 1700 may be provided as an application server. Referring to fig. 13, the apparatus 1700 includes a processing component 1722 that further includes one or more processors and memory resources, represented by memory 1716, for storing instructions, such as applications, that are executable by the processing component 1722. The application programs stored in the memory 1716 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1722 is configured to execute instructions to perform the above-described method of adjusting wake-up sensitivity.
The apparatus 1700 may also include a power component 1726 configured to perform power management of the apparatus 1700, a wired or wireless network interface 1750 configured to connect the apparatus 1700 to a network, and an input output (I/O) interface 1758. The apparatus 1700 may operate based on an operating system stored in the memory 1716, such as Android, iOS, Windows ServerTM，Mac OS XTM，UnixTM，LinuxTM，FreeBSDTMOr the like.
In an exemplary embodiment, a non-transitory computer readable storage medium including instructions, such as the memory 1716 including instructions, executable by the processing component 1722 of the apparatus 1700 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Wherein the instructions in the memory 1716, when executed by the processing component 1722, enable the apparatus 1700 to perform a method of adjusting wake-up sensitivity comprising:
acquiring preset parameter information in the surrounding environment of voice equipment, wherein the preset parameter information comprises: user activity data and/or ambient time;
and adjusting the target awakening sensitivity of the voice equipment according to the preset parameter information.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. A method of adjusting wake-up sensitivity, the method comprising:
acquiring preset parameter information in the surrounding environment of voice equipment, wherein the preset parameter information comprises: user activity data and/or ambient time, the user activity data comprising at least one of: network flow data monitored by a router connected with the voice equipment and sound information in the surrounding environment of the voice equipment;
adjusting the target awakening sensitivity of the voice equipment according to the preset parameter information;
the adjusting the target awakening sensitivity of the voice device according to the preset parameter information comprises:
acquiring a wakeup sensitivity weight value corresponding to each preset parameter information;
determining the target awakening sensitivity according to the acquired awakening sensitivity weight values and a preset algorithm;
determining the target awakening sensitivity according to the acquired awakening sensitivity weight values and a preset algorithm, wherein the determining the target awakening sensitivity comprises the following steps:
adding all the awakening sensitivity weight values to obtain a total awakening sensitivity weight value;
multiplying the total awakening sensitivity weight value and the default awakening sensitivity to obtain an awakening sensitivity variable quantity;
and adding the default awakening sensitivity and the awakening sensitivity variable quantity to obtain the awakening sensitivity.
2. The method of claim 1, wherein the preset parameter information comprises: when the user activity data is obtained, the obtaining of the preset parameter information in the surrounding environment of the voice device includes:
determining the preset parameter information according to network flow data monitored by a router connected with the voice equipment; and/or
And determining the preset parameter information according to the collected sound information in the surrounding environment of the voice equipment.
3. The method according to claim 1, wherein the method is applied to the voice device, and the adjusting the target wake-up sensitivity of the voice device according to the preset parameter information comprises:
sending the preset parameter information to a management server connected with the voice equipment;
and receiving the target awakening sensitivity determined by the management server according to the preset parameter information.
4. An apparatus for adjusting wake-up sensitivity, the apparatus comprising:
the acquisition module is configured to acquire preset parameter information in the surrounding environment of the voice device, wherein the preset parameter information comprises: user activity data and/or ambient time, the user activity data comprising at least one of: network flow data monitored by a router connected with the voice equipment and sound information in the surrounding environment of the voice equipment;
the adjusting module is configured to adjust the target awakening sensitivity of the voice equipment according to the preset parameter information;
the adjustment module includes:
the first obtaining submodule is configured to obtain a wake-up sensitivity weight value corresponding to each preset parameter information;
the first obtaining submodule is configured to determine the target awakening sensitivity according to the acquired awakening sensitivity weight values and a preset algorithm;
the first obtaining submodule includes:
a first deriving unit configured to add all the wake-up sensitivity weight values to derive a total wake-up sensitivity weight value;
a second obtaining unit configured to multiply the total wake-up sensitivity weight value and a default wake-up sensitivity to obtain a wake-up sensitivity variation;
a third obtaining unit configured to add the default wake-up sensitivity and the wake-up sensitivity variation to obtain the wake-up sensitivity.
5. The apparatus of claim 4, wherein the obtaining module comprises:
a first determining sub-module configured to, when the preset parameter information includes: when the user activity data is received, determining the preset parameter information according to the network flow data monitored by the router connected with the voice equipment; and/or
The second determining submodule is configured to determine the preset parameter information according to the collected sound information in the surrounding environment of the voice device.
6. The apparatus of claim 4, wherein the adjustment module comprises:
a transmission sub-module configured to transmit the preset parameter information to a management server connected to the voice device when the apparatus is applied to the voice device;
a receiving submodule configured to receive the target wake-up sensitivity determined by the management server according to the preset parameter information.
7. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the steps of the method of any of claims 1 to 3.
8. An apparatus for adjusting wake-up sensitivity, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
acquiring preset parameter information in the surrounding environment of voice equipment, wherein the preset parameter information comprises: user activity data and/or ambient time, the user activity data comprising at least one of: network flow data monitored by a router connected with the voice equipment and sound information in the surrounding environment of the voice equipment;
determining the target awakening sensitivity of the voice equipment according to the preset parameter information;
the adjusting the target awakening sensitivity of the voice device according to the preset parameter information comprises:
acquiring a wakeup sensitivity weight value corresponding to each preset parameter information;
determining the target awakening sensitivity according to the acquired awakening sensitivity weight values and a preset algorithm;
determining the target awakening sensitivity according to the acquired awakening sensitivity weight values and a preset algorithm, wherein the determining the target awakening sensitivity comprises the following steps:
adding all the awakening sensitivity weight values to obtain a total awakening sensitivity weight value;
multiplying the total awakening sensitivity weight value and the default awakening sensitivity to obtain an awakening sensitivity variable quantity;
and adding the default awakening sensitivity and the awakening sensitivity variable quantity to obtain the awakening sensitivity.
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