CN108847219B - Awakening word preset confidence threshold adjusting method and system - Google Patents
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Abstract
本发明公开了一种唤醒词预设置信度阈值调节方法，包括步骤：S11.获取用户日常使用行为数据；S12.根据所述用户日常使用行为数据调节唤醒词预设置信度阈值。本发明通过获取用户日常使用行为数据来动态设置和调整唤醒词预设置信度阈值，充分考虑用户的个人使用特点，先通过用户每日行为置信度平均值来判断是否整体下调预设置信度阈值，再根据每个时间段的使用次数来进一步调整预设置信度阈值，有效提高了设备唤醒率和降低误唤醒率。
The invention discloses a method for adjusting the pre-set reliability threshold of a wake-up word, comprising the steps of: S11. Acquiring daily use behavior data of a user; S12. Adjusting the pre-set reliability threshold value of the wake-up word according to the user's daily use behavior data. The present invention dynamically sets and adjusts the pre-set reliability threshold of the wake-up word by acquiring the user's daily use behavior data, fully considers the user's personal use characteristics, and first judges whether to lower the preset reliability threshold as a whole through the average value of the user's daily behavior confidence degree , and then further adjust the preset reliability threshold according to the number of times of use in each time period, which effectively improves the device wake-up rate and reduces the false wake-up rate.
Description
技术领域technical field
本发明涉及语音处理领域，尤其涉及一种唤醒词预设置信度阈值调节方法及系统。The present invention relates to the field of speech processing, in particular to a method and system for adjusting the pre-set reliability threshold of a wake-up word.
背景技术Background technique
语音识别技术在近些年取得了显著的进步，该技术已进入工业、家电、智能家居等各个领域。语音唤醒即是语音识别技术的一种形式，其不直接接触硬件设备，通过语音即可将设备唤醒运行。语音唤醒就是让设备(智能音箱、手机、玩具、家电等)在休眠或锁屏状态下也能检测到用户的声音(设定的语音指令，即唤醒词)，让处于休眠状态下的设备直接进入到等待指令状态，开启语音交互第一步。一般情况下，大部分设备都是靠物理按键实现设备的唤醒或者运行。然而，这对于用户体验来说并不好。语音作为人们最自然的交流方式，通过语音唤醒这种非接触式的方式启动设备无疑是更友好的，Speech recognition technology has made significant progress in recent years, and the technology has entered various fields such as industry, home appliances, and smart homes. Voice wake-up is a form of voice recognition technology. It does not directly contact the hardware device, and the device can be woken up and run by voice. Voice wake-up is to allow devices (smart speakers, mobile phones, toys, home appliances, etc.) to detect the user's voice (set voice commands, namely wake-up words) even in the sleep or lock screen state, so that the device in the sleep state can directly Enter the waiting command state and start the first step of voice interaction. In general, most devices rely on physical buttons to wake up or run the device. However, this is not good for user experience. Voice is the most natural way for people to communicate, and it is undoubtedly more friendly to activate the device in a non-contact way through voice wake-up.
现有技术中，为了提高语音唤醒成功率，都是通过对语音模型进行训练，设置合适的置信度阈值，置信度为用户的语言输入与预设语言模型的匹配符合度，置信度越高，代表用户的语言输入与预设语言模型越匹配，反之越不匹配。软件在判断用户语言行为是否唤醒设备时，通过用户输入得到的置信度值和预设置信度比较，大于预设置信度则唤醒成功，否则唤醒失败。但是这些方案通过语音模型训练的置信度阈值固定，只能适用于普通的用户场景，不同用户采用的阈值都是相同的，没有考虑不同用户的个人使用特点，并且虽然能提高唤醒成功率，但是不能降低误唤醒率。In the prior art, in order to improve the success rate of voice wake-up, the voice model is trained and an appropriate confidence threshold is set. The confidence is the matching degree between the user's language input and the preset language model. The language input representing the user matches the preset language model, and vice versa. When the software judges whether the user's language behavior wakes up the device, the confidence value obtained by the user's input is compared with the preset confidence value. If the confidence value is greater than the preset confidence value, the wake-up succeeds, otherwise the wake-up fails. However, these solutions have a fixed confidence threshold trained by the voice model, which can only be applied to common user scenarios. The thresholds used by different users are the same, and the personal use characteristics of different users are not considered. Although they can improve the wake-up success rate, but The false wake-up rate cannot be reduced.
公开号为CN105702253A的专利公开了一种语音唤醒方法及装置，用于提高利用语音唤醒终端设备的准确度。所述方法包括：当终端设备接收到用户输入的包含预设唤醒词的第一语音数据时，对所述第一语音数据和预设语言模型进行匹配，获得所述第一语音数据的置信度；判断所述置信度是否小于预设置信度阈值；当所述置信度小于所述预设置信度阈值时，执行预设操作；当所述置信度大于或等于所述预设置信度阈值时，唤醒所述终端设备的语音控制功能。该技术方案使得用户利用语音唤醒终端设备失败时，终端设备能够通过执行预设操作来提高第一语音数据的置信度，从而提高用户利用语音唤醒终端设备的准确度以及用户的体验度。虽然该方法提高了唤醒成功率，但是未能降低误唤醒率，并且该方法中的置信度阈值也是固定的，没有综合考虑不同用户的个人使用特点。Patent Publication No. CN105702253A discloses a voice wake-up method and device, which are used to improve the accuracy of using voice to wake up terminal equipment. The method includes: when a terminal device receives first voice data input by a user and including a preset wake-up word, matching the first voice data with a preset language model to obtain a confidence level of the first voice data ; Determine whether the confidence is less than a preset confidence threshold; when the confidence is less than the preset confidence threshold, perform a preset operation; When the confidence is greater than or equal to the preset confidence threshold , wake up the voice control function of the terminal device. The technical solution enables the terminal device to perform a preset operation to improve the confidence of the first voice data when the user fails to wake up the terminal device by voice, thereby improving the accuracy of the user using voice to wake up the terminal device and the user experience. Although this method improves the wake-up success rate, it fails to reduce the false wake-up rate, and the confidence threshold in this method is also fixed, and the personal usage characteristics of different users are not comprehensively considered.
发明内容SUMMARY OF THE INVENTION
本发明的目的是针对现有技术的缺陷，提供了一种基于用户行为动态调节唤醒词置信度阈值的方法及系统，解决了现有技术置信度阈值固定，未考虑不同用户的个人使用特点的问题以及为未能减低误唤醒率的问题。The purpose of the present invention is to provide a method and system for dynamically adjusting the confidence threshold of the wake-up word based on user behavior in view of the defects of the prior art, which solves the problem that the confidence threshold is fixed in the prior art and does not consider the personal usage characteristics of different users. problems and the failure to reduce the false wake-up rate.
为了实现以上目的，本发明采用以下技术方案：In order to achieve the above purpose, the present invention adopts the following technical solutions:
一种唤醒词预设置信度阈值调节方法，包括步骤：A wake-up word preset reliability threshold adjustment method, comprising the steps of:
S1.获取用户日常使用行为数据；S1. Obtain the data of the user's daily usage behavior;
S2.根据所述用户日常使用行为数据调节唤醒词预设置信度阈值。S2. Adjust the preset reliability threshold of the wake-up word according to the user's daily use behavior data.
进一步的，所述用户日常行为数据包括用户每日行为置信度平均值和用户每日各个时间段的唤醒次数。Further, the user's daily behavior data includes the average value of the user's daily behavior confidence and the user's daily wake-up times in various time periods.
进一步的，所述步骤S2之前还包括步骤：Further, the step S2 also includes steps before:
根据所述用户每日各个时间段的唤醒次数确定用户每日高频使用时间段和低频使用时间段。The daily high-frequency usage time period and the low-frequency usage time period of the user are determined according to the wake-up times of the user in each time period each day.
进一步的，其特征在于，所述步骤S2具体为：Further, it is characterized in that the step S2 is specifically:
S201.判断所述用户每日行为置信度平均值是否远高于所述预设置信度阈值，若否，则跳到步骤S202；S201. Determine whether the average value of the user's daily behavior confidence is far higher than the preset reliability threshold, if not, skip to step S202;
S202.整体下调所述预设置信度阈值。S202. Decrease the preset reliability threshold as a whole.
进一步的，所述步骤S202之后还包括步骤：Further, after the step S202, it also includes steps:
判断当前时间所在时间段是处于所述高频使用时间段还是所述低频使用时间段；Determine whether the time period in which the current time is located is in the high frequency use time period or the low frequency use time period;
若处于所述高频使用时间段则下调所述预设置信度阈值，若处于所述低频使用时间段则上调所述预设置信度阈值。If it is in the high frequency usage time period, the preset reliability threshold is lowered, and if it is in the low frequency usage time period, the preset reliability threshold value is raised.
相应的，一种唤醒词预设置信度阈值调节系统，包括：Correspondingly, a wake-up word preset reliability threshold adjustment system includes:
数据获取模块，用于获取用户日常使用行为数据；The data acquisition module is used to acquire the user's daily usage behavior data;
调节模块，用于根据所述用户日常使用行为数据调节唤醒词预设置信度阈值。An adjustment module, configured to adjust the pre-set reliability threshold of the wake word according to the user's daily use behavior data.
进一步的，所述用户日常行为数据包括用户每日行为置信度平均值和用户每日各个时间段的唤醒次数。Further, the user's daily behavior data includes the average value of the user's daily behavior confidence and the user's daily wake-up times in various time periods.
进一步的，还包括：Further, it also includes:
高低频使用时间段确定模块，用于根据所述用户每日各个时间段的唤醒次数确定用户每日高频使用时间段和低频使用时间段。The high and low frequency usage time period determination module is configured to determine the daily high frequency usage time period and the low frequency usage time period of the user according to the wake-up times of the user in each time period each day.
进一步的，所述调节模块包括：Further, the adjustment module includes:
第一判断模块，用于判断所述用户每日行为置信度平均值是否远高于所述预设置信度阈值；a first judgment module, used for judging whether the average value of the user's daily behavior confidence is much higher than the preset reliability threshold;
第一调整模块，用于在所述用户每日行为置信度平均值没有远高于所述预设置信度阈值时整体下调所述预设置信度阈值。The first adjustment module is configured to lower the preset reliability threshold as a whole when the average value of the user's daily behavior confidence is not much higher than the preset reliability threshold.
进一步的，所述调节模块还包括：Further, the adjustment module also includes:
第二判断模块，用于判断当前时间所在时间段是处于所述高频使用时间段还是所述低频使用时间段；a second judgment module, configured to judge whether the time period in which the current time is located is in the high frequency use time period or the low frequency use time period;
第二调整模块，用于在当前时间所处时间段处于所述高频使用时间段时下调所述预设置信度阈值，在当前时间所处时间段处于所述低频使用时间段时上调所述预设置信度阈值。The second adjustment module is configured to lower the preset reliability threshold when the time period of the current time is in the high-frequency usage time period, and adjust the preset reliability threshold value when the time period of the current time is in the low-frequency usage time period Preset reliability thresholds.
与现有技术相比，本发明通过获取用户日常使用行为数据来动态设置和调整唤醒词预设置信度阈值，充分考虑用户的个人使用特点，先通过用户每日行为置信度平均值来判断是否整体下调预设置信度阈值，再根据每个时间段用户的使用次数来进一步调整预设置信度阈值，有效提高了设备唤醒率和降低误唤醒率。Compared with the prior art, the present invention dynamically sets and adjusts the pre-set reliability threshold of the wake-up word by acquiring the user's daily behavior data, fully considers the user's personal use characteristics, and first judges whether the user's daily behavior confidence is based on the average value of the user's daily behavior. The preset reliability threshold is lowered as a whole, and the preset reliability threshold is further adjusted according to the number of users in each time period, which effectively improves the device wake-up rate and reduces the false wake-up rate.
附图说明Description of drawings
图1是实施例一提供的一种唤醒词预设置信度阈值调节方法流程图；1 is a flowchart of a method for adjusting the pre-set reliability threshold of a wake-up word provided by Embodiment 1;
图2是实施例二提供的一种唤醒词预设置信度阈值调节系统结构图。FIG. 2 is a structural diagram of a system for adjusting the pre-set reliability threshold of a wake-up word according to the second embodiment.
具体实施方式Detailed ways
以下通过特定的具体实例说明本发明的实施方式，本领域技术人员可由本说明书所揭露的内容轻易地了解本发明的其他优点与功效。本发明还可以通过另外不同的具体实施方式加以实施或应用，本说明书中的各项细节也可以基于不同观点与应用，在没有背离本发明的精神下进行各种修饰或改变。需说明的是，在不冲突的情况下，以下实施例及实施例中的特征可以相互组合。The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict.
需要说明的是，以下实施例中所提供的图示仅以示意方式说明本发明的基本构想，遂图式中仅显示与本发明中有关的组件而非按照实际实施时的组件数目、形状及尺寸绘制，其实际实施时各组件的型态、数量及比例可为一种随意的改变，且其组件布局型态也可能更为复杂。It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic way, so the drawings only show the components related to the present invention rather than the number, shape and number of components in actual implementation. For dimension drawing, the type, quantity and proportion of each component can be changed at will in actual implementation, and the component layout may also be more complicated.
本发明是以日常生活中语音产品为研究对象，主要的着力点在于提高语音产品的唤醒率和降低误唤醒率，优化用户对语音产品的使用体验。本发明就是针对现有技术的缺陷，提供了一种基于用户行为动态调节唤醒词置信度阈值的方法及系统，解决了现有技术置信度阈值固定，未考虑不同用户的个人使用特点的问题以及为未能减低误唤醒率的问题，提升用户体验。The invention takes the voice products in daily life as the research object, and the main focus is to improve the wake-up rate of the voice product and reduce the false wake-up rate, so as to optimize the user's experience of using the voice product. In view of the defects of the prior art, the present invention provides a method and system for dynamically adjusting the confidence threshold of the wake-up word based on user behavior, which solves the problems of the prior art that the confidence threshold is fixed without considering the personal use characteristics of different users, and In order to reduce the problem of false wake-up rate, improve the user experience.
实施例一Example 1
本实施例提供一种唤醒词预设置信度阈值调节方法，如图1所示，包括步骤：This embodiment provides a method for adjusting the pre-set reliability threshold of a wake-up word, as shown in FIG. 1 , including the steps:
S11.获取用户日常使用行为数据；S11. Obtain the data of the user's daily use behavior;
S12.根据所述用户日常使用行为数据调节唤醒词预设置信度阈值。S12. Adjust the preset reliability threshold of the wake-up word according to the user's daily use behavior data.
本实施例中的唤醒词预设置信度阈值调节方法应用于终端设备中，该终端设备可以是手机、计算机、智能音箱、玩具、家电、数字广播终端、消息收发设备、平板设备、医疗设备、健身设备、个人数字助理等任一具有语音控制功能的设备。The method for adjusting the preset reliability threshold of the wake word in this embodiment is applied to a terminal device, and the terminal device may be a mobile phone, a computer, a smart speaker, a toy, a home appliance, a digital broadcasting terminal, a message sending and receiving device, a tablet device, a medical device, Anything with voice control, such as fitness equipment, personal digital assistants, etc.
本实施例的唤醒词预设置信度阈值调节方法的执行主体为上述终端设备。The execution subject of the method for adjusting the pre-set reliability threshold of the wake-up word in this embodiment is the above-mentioned terminal device.
需要说明的是，所述唤醒词为与终端设备的语音控制功能相关的词语，由用户预先设定。例如，如果终端设备的语音控制功能包括控制智能家居时，预设唤醒词可包括空调、电视、窗帘等与智能家居有关的词；再例如，如果终端设备的语音控制功能包括连接至云端服务器、并通过云端服务器搜索网络信息时，预设唤醒词可包括搜索、查询、天气、火车票等与网络服务相关的词。It should be noted that the wake-up word is a word related to the voice control function of the terminal device, which is preset by the user. For example, if the voice control function of the terminal device includes controlling a smart home, the preset wake-up words may include words related to smart home, such as air conditioners, TVs, and curtains; for another example, if the voice control function of the terminal device includes connecting to a cloud server, When searching for network information through the cloud server, the preset wake-up words may include words related to network services such as search, query, weather, and train tickets.
具体的，在用户使用所述终端设备前，需要用户上传性别、年龄、终端设备使用时间段、终端设备功能偏好等得到用户基础使用行为信息设置唤醒词预设置信度阈值大小。然后会获取用户日常使用行为数据，根据所述的用户日常使用行为数据调节唤醒词预设置信度。Specifically, before the user uses the terminal device, the user needs to upload the gender, age, terminal device usage time period, terminal device function preference, etc. to obtain the user's basic usage behavior information to set the wake word preset reliability threshold size. Then, the user's daily use behavior data is acquired, and the preset reliability of the wake word is adjusted according to the user's daily use behavior data.
可选的，所述用户日常行为数据包括用户每日行为置信度平均值和用户每日各个时间段的唤醒次数。Optionally, the user's daily behavior data includes an average of the user's daily behavior confidence and the user's daily wake-up times in various time periods.
可选的，所述步骤S12之前还包括步骤：Optionally, the step S12 further includes steps before:
根据所述用户每日各个时间段的唤醒次数确定用户每日高频使用时间段和低频使用时间段。The daily high-frequency usage time period and the low-frequency usage time period of the user are determined according to the wake-up times of the user in each time period each day.
具体的，终端设备可以在每日24点计算用户每日行为的置信度平均值，具体计算过程为：统计用户一整天内每次唤醒词置信度值，然后将一天下来所有的唤醒词置信度值进行相加然后除以唤醒次数就得到了用户每日行为置信度平均值。Specifically, the terminal device can calculate the average confidence level of the user's daily behavior at 24 o'clock every day. The specific calculation process is as follows: count the confidence level of each wake-up word of the user throughout the day, and then calculate the confidence level of all wake-up words throughout the day. The degree values are added and divided by the number of wakeups to get the average daily behavioral confidence of the user.
另一方面，终端设备要统计用户每日各个时间段的唤醒次数以确定用户每日高频使用时间段和低频使用时间段。On the other hand, the terminal device needs to count the number of times the user wakes up in each time period each day to determine the daily high-frequency usage time period and the low-frequency usage time period of the user.
可选的，所述各个时间段可以为每两小时为一个时间段。例如0点到2点为一个时间段，2点到4点为一个时间段，以此类推，那么一天就有12个时间段。Optionally, each time period may be a time period every two hours. For example, 0:00 to 2:00 is a time period, 2:00 to 4:00 is a time period, and so on, then there are 12 time periods in a day.
可选的，若用户在一个时间段内的使用频率低于两次则为低频使用时间段，若用户在一个时间段内的使用频率高于十次则为高频使用时间段。例如：如下表所示，下表为用户每日各个时间段以及相应的唤醒次数。Optionally, if the user's usage frequency in a time period is less than twice, it is a low-frequency usage time period, and if the user's usage frequency in a time period is more than ten times, it is a high-frequency usage time period. For example, as shown in the following table, the following table shows the user's daily time period and the corresponding wake-up times.
由上表可以得知，在[0，2]、[2，4]、[4，6]、[6，8]这4个时间段用户唤醒的次数小于两次，那么这4个时间段就为低频使用时间段，而在[16，18]、[18，20]、[20，22]这3个时间段用户的唤醒次数大于十次，那么这3个时间段就为高频使用时间段。As can be seen from the above table, in the four time periods [0, 2], [2, 4], [4, 6], [6, 8], the number of times the user wakes up is less than twice, then the four time periods It is the low-frequency use time period, and in the three time periods of [16, 18], [18, 20], [20, 22] the number of times the user wakes up is more than ten times, then these three time periods are high-frequency use. period.
可选的，所述步骤S12具体为：Optionally, the step S12 is specifically:
S1201.判断所述用户每日行为置信度平均值是否远高于所述预设置信度阈值，若否，则跳到步骤S1202；S1201. Determine whether the average value of the user's daily behavior confidence is much higher than the preset reliability threshold, if not, skip to step S1202;
S1202.整体下调所述预设置信度阈值。S1202. Decrease the preset reliability threshold as a whole.
具体的，终端设备在每日24点计算用户每日行为的置信度平均值后，然后将用户每日行为置信度平均值与预设置信度阈值进行比较，如果用户每日行为置信度平均值远高于预设置信度阈值，则对预设置信度阈值不进行调整，因为用户每日行为执行度平局值远高于预设置信度阈值，所以用户输入的语音数据的置信度值很容易达到预设置信度阈值，因此此时不需要调整预设置信度阈值的大小。如果用户每日行为置信度平均值没有远高于(接近)预设置信度阈值，则整体下调预设置信度阈值，通过整体下调预设置信度阈值，使得用户输入的语音数据的置信度值更容易达到预设置信度阈值，因而更容易识别用户的语音数据，从而提高了用户对终端设备的唤醒率。Specifically, the terminal device calculates the average confidence level of the user's daily behavior at 24 o'clock every day, and then compares the average value of the user's daily behavior confidence level with the preset reliability threshold. If it is far higher than the preset reliability threshold, the preset reliability threshold will not be adjusted, because the average value of the user's daily behavior execution degree is much higher than the preset reliability threshold, so the confidence value of the voice data input by the user is very easy. The preset reliability threshold is reached, so there is no need to adjust the size of the preset reliability threshold at this time. If the average value of the user's daily behavior confidence is not much higher than (close to) the preset credibility threshold, the preset credibility threshold is lowered as a whole, and the preset credibility threshold is lowered as a whole, so that the confidence value of the voice data input by the user is made. It is easier to reach the preset reliability threshold, so it is easier to identify the user's voice data, thereby improving the user's wake-up rate to the terminal device.
可选的，所述步骤S1202之后还包括步骤：Optionally, the step S1202 further includes the following steps:
判断当前时间所在时间段是处于所述高频使用时间段还是所述低频使用时间段；Determine whether the time period in which the current time is located is in the high frequency use time period or the low frequency use time period;
若处于所述高频使用时间段则下调所述预设置信度阈值，若处于所述低频使用时间段则上调所述预设置信度阈值。If it is in the high frequency usage time period, the preset reliability threshold is lowered, and if it is in the low frequency usage time period, the preset reliability threshold value is raised.
具体的，终端设备还会根据每日每个时间段来调整预设置信度阈值，如果当前时间所处的时间段是高频使用时间段(即唤醒次数超过十次的时间段)，则下调预设置信度阈值，使得用户输入的语音数据的置信度值更容易达到预设置信度阈值，这样在高频使用时间段可以提高用户对终端设备的唤醒率，如果当前时间所处的时间段是低频使用时间段(即唤醒次数低于两次的时间段)，因为低频使用时间段使用的比较少，则上调预设置信度阈值，使得用户输入的语音数据的置信度值相对于其他时间不容易达到预设置信度阈值，从而就可以在低频使用时间段减低用户对终端设备的误唤醒率。Specifically, the terminal device will also adjust the preset reliability threshold according to each time period of the day. If the time period in which the current time is located is a high-frequency usage time period (that is, a time period in which the number of wakeups exceeds ten times), it will be adjusted downward. The preset reliability threshold makes it easier for the confidence value of the voice data input by the user to reach the preset reliability threshold, so that the user's wake-up rate to the terminal device can be improved during the high-frequency usage period. If the current time is in the time period It is a low-frequency usage time period (that is, a time period in which the number of wake-ups is less than twice). Because the low-frequency usage time period is used less, the preset reliability threshold is increased, so that the confidence value of the voice data input by the user is relative to other times. It is not easy to reach the preset reliability threshold, so that the false wake-up rate of the terminal device by the user can be reduced in the low-frequency usage time period.
本实施例通过获取用户日常使用行为数据来动态设置和调整唤醒词预设置信度阈值，充分考虑用户的个人使用特点，先通过用户每日行为置信度平均值来判断是否整体下调预设置信度阈值，再根据每个时间段的使用次数来进一步调整预设置信度阈值，有效提高了唤醒率和降低误唤醒率。This embodiment dynamically sets and adjusts the pre-set reliability threshold of the wake-up word by acquiring the user's daily usage behavior data, fully considering the user's personal usage characteristics, and first judges whether to lower the pre-set reliability as a whole based on the average value of the user's daily behavior confidence degree Threshold, and then further adjust the preset reliability threshold according to the number of uses in each time period, which effectively improves the wake-up rate and reduces the false wake-up rate.
实施例二Embodiment 2
本实施例提供一种唤醒词预设置信度阈值调节系统，如图2所示，包括：This embodiment provides a wake-up word preset reliability threshold adjustment system, as shown in FIG. 2 , including:
数据获取模块11，用于获取用户日常使用行为数据；The
调节模块12，用于根据所述用户日常使用行为数据调节唤醒词预设置信度阈值。The
本实施例中的唤醒词预设置信度阈值调节方法应用于终端设备中，该终端设备可以是手机、计算机、智能音箱、玩具、家电、数字广播终端、消息收发设备、平板设备、医疗设备、健身设备、个人数字助理等任一具有语音控制功能的设备。The method for adjusting the preset reliability threshold of the wake word in this embodiment is applied to a terminal device, and the terminal device may be a mobile phone, a computer, a smart speaker, a toy, a home appliance, a digital broadcasting terminal, a message sending and receiving device, a tablet device, a medical device, Anything with voice control, such as fitness equipment, personal digital assistants, etc.
需要说明的是，所述唤醒词为与终端设备的语音控制功能相关的词语，由用户预先设定。例如，如果终端设备的语音控制功能包括控制智能家居时，预设唤醒词可包括空调、电视、窗帘等与智能家居有关的词；再例如，如果终端设备的语音控制功能包括连接至云端服务器、并通过云端服务器搜索网络信息时，预设唤醒词可包括搜索、查询、天气、火车票等与网络服务相关的词。It should be noted that the wake-up word is a word related to the voice control function of the terminal device, which is preset by the user. For example, if the voice control function of the terminal device includes controlling a smart home, the preset wake-up words may include words related to smart home, such as air conditioners, TVs, and curtains; for another example, if the voice control function of the terminal device includes connecting to a cloud server, When searching for network information through the cloud server, the preset wake-up words may include words related to network services such as search, query, weather, and train tickets.
具体的，在用户使用所述终端设备前，需要用户上传性别、年龄、终端设备使用时间段、终端设备功能偏好等得到用户基础使用行为信息设置唤醒词预设置信度阈值大小。然后会获取用户日常使用行为数据，根据所述的用户日常使用行为数据调节唤醒词预设置信度。Specifically, before the user uses the terminal device, the user needs to upload the gender, age, terminal device usage time period, terminal device function preference, etc. to obtain the user's basic usage behavior information to set the wake word preset reliability threshold size. Then, the user's daily use behavior data is acquired, and the preset reliability of the wake word is adjusted according to the user's daily use behavior data.
可选的，所述用户日常行为数据包括用户每日行为置信度平均值和用户每日各个时间段的唤醒次数。Optionally, the user's daily behavior data includes an average of the user's daily behavior confidence and the user's daily wake-up times in various time periods.
可选的，还包括：Optionally, also include:
高低频使用时间段确定模块，用于根据所述用户每日各个时间段的唤醒次数确定用户每日高频使用时间段和低频使用时间段。The high and low frequency usage time period determination module is configured to determine the daily high frequency usage time period and the low frequency usage time period of the user according to the wake-up times of the user in each time period each day.
具体的，终端设备可以在每日24点计算用户每日行为的置信度平均值，具体计算过程为：统计用户一整天内每次唤醒词置信度值，然后将一天下来所有的唤醒词置信度值进行相加然后除以唤醒次数就得到了用户每日行为置信度平均值。Specifically, the terminal device can calculate the average confidence level of the user's daily behavior at 24 o'clock every day. The specific calculation process is as follows: count the confidence level of each wake-up word of the user throughout the day, and then calculate the confidence level of all wake-up words throughout the day. The degree values are added and divided by the number of wakeups to get the average daily behavioral confidence of the user.
另一方面，终端设备要统计用户每日各个时间段的唤醒次数以确定用户每日高频使用时间段和低频使用时间段。On the other hand, the terminal device needs to count the number of times the user wakes up in each time period each day to determine the daily high-frequency usage time period and the low-frequency usage time period of the user.
可选的，所述各个时间段可以为每两小时为一个时间段。例如0点到2点为一个时间段，2点到4点为一个时间段，以此类推，那么一天就有12个时间段。Optionally, each time period may be a time period every two hours. For example, 0:00 to 2:00 is a time period, 2:00 to 4:00 is a time period, and so on, then there are 12 time periods in a day.
可选的，若用户在一个时间段内的使用频率低于两次则为低频使用时间段，若用户在一个时间段内的使用频率高于十次则为高频使用时间段。例如：如下表所示，下表为用户每日各个时间段以及相应的唤醒次数。Optionally, if the user's usage frequency in a time period is less than twice, it is a low-frequency usage time period, and if the user's usage frequency in a time period is more than ten times, it is a high-frequency usage time period. For example, as shown in the following table, the following table shows the user's daily time period and the corresponding wake-up times.
由上表可以得知，在[0，2]、[2，4]、[4，6]、[6，8]这4个时间段用户唤醒的次数小于两次，那么这4个时间段就为低频使用时间段，而在[16，18]、[18，20]、[20，22]这3个时间段用户的唤醒次数大于十次，那么这3个时间段就为高频使用时间段。As can be seen from the above table, in the four time periods [0, 2], [2, 4], [4, 6], [6, 8], the number of times the user wakes up is less than twice, then the four time periods It is the low-frequency use time period, and in the three time periods of [16, 18], [18, 20], [20, 22] the number of times the user wakes up is more than ten times, then these three time periods are high-frequency use. period.
可选的，所述调节模块包括：Optionally, the adjustment module includes:
第一判断模块，用于判断所述用户每日行为置信度平均值是否远高于所述预设置信度阈值；a first judgment module, used for judging whether the average value of the user's daily behavior confidence is much higher than the preset reliability threshold;
第一调整模块，用于在所述用户每日行为置信度平均值没有远高于所述预设置信度阈值时整体下调所述预设置信度阈值。The first adjustment module is configured to lower the preset reliability threshold as a whole when the average value of the user's daily behavior confidence is not much higher than the preset reliability threshold.
具体的，终端设备在每日24点计算用户每日行为的置信度平均值后，然后将用户每日行为置信度平均值与预设置信度阈值进行比较，如果用户每日行为置信度平均值远高于预设置信度阈值，则对预设置信度阈值不进行调整，因为用户每日行为执行度平局值远高于预设置信度阈值，所以用户输入的语音数据的置信度值很容易达到预设置信度阈值，因此此时不需要调整预设置信度阈值的大小。如果用户每日行为置信度平均值没有远高于(接近)预设置信度阈值，则整体下调预设置信度阈值，通过整体下调预设置信度阈值，使得用户输入的语音数据的置信度值更容易达到预设置信度阈值，因而更容易识别用户的语音数据，从而提高了用户对终端设备的唤醒率。Specifically, the terminal device calculates the average confidence level of the user's daily behavior at 24 o'clock every day, and then compares the average value of the user's daily behavior confidence level with the preset reliability threshold. If it is far higher than the preset reliability threshold, the preset reliability threshold will not be adjusted, because the average value of the user's daily behavior execution degree is much higher than the preset reliability threshold, so the confidence value of the voice data input by the user is very easy. The preset reliability threshold is reached, so there is no need to adjust the size of the preset reliability threshold at this time. If the average value of the user's daily behavior confidence is not much higher than (close to) the preset credibility threshold, the preset credibility threshold is lowered as a whole, and the preset credibility threshold is lowered as a whole, so that the confidence value of the voice data input by the user is made. It is easier to reach the preset reliability threshold, so it is easier to identify the user's voice data, thereby improving the user's wake-up rate to the terminal device.
可选的，所述调节模块还包括：Optionally, the adjustment module further includes:
第二判断模块，用于判断当前时间所在时间段是处于所述高频使用时间段还是所述低频使用时间段；a second judgment module, configured to judge whether the time period in which the current time is located is in the high frequency use time period or the low frequency use time period;
第二调整模块，用于在当前时间所处时间段处于所述高频使用时间段时下调所述预设置信度阈值，在当前时间所处时间段处于所述低频使用时间段时上调所述预设置信度阈值。The second adjustment module is configured to lower the preset reliability threshold when the time period of the current time is in the high-frequency usage time period, and adjust the preset reliability threshold value when the time period of the current time is in the low-frequency usage time period Preset reliability thresholds.
具体的，终端设备还会根据每日每个时间段来调整预设置信度阈值，如果当前时间所处的时间段是高频使用时间段(即唤醒次数超过十次的时间段)，则下调预设置信度阈值，使得用户输入的语音数据的置信度值更容易达到预设置信度阈值，这样在高频使用时间段可以提高用户对终端设备的唤醒率，如果当前时间所处的时间段是低频使用时间段(即唤醒次数低于两次的时间段)，因为低频使用时间段使用的比较少，则上调预设置信度阈值，使得用户输入的语音数据的置信度值相对于其他时间不容易达到预设置信度阈值，从而就可以在低频使用时间段减低用户对终端设备的误唤醒率。Specifically, the terminal device will also adjust the preset reliability threshold according to each time period of the day. If the time period in which the current time is located is a high-frequency usage time period (that is, a time period in which the number of wakeups exceeds ten times), it will be adjusted downward. The preset reliability threshold makes it easier for the confidence value of the voice data input by the user to reach the preset reliability threshold, so that the user's wake-up rate to the terminal device can be improved during the high-frequency usage period. If the current time is in the time period It is the low-frequency usage time period (that is, the time period when the number of wakeups is lower than twice), because the low-frequency usage time period is used less, the preset reliability threshold is increased, so that the confidence value of the voice data input by the user is relative to other times. It is not easy to reach the preset reliability threshold, so that the false wake-up rate of the terminal device by the user can be reduced in the low-frequency usage time period.
本实施例通过数据获取模块获取用户日常使用行为数据来动态设置和调整唤醒词预设置信度阈值，充分考虑用户的个人使用特点，有效提高了唤醒率和降低误唤醒率，提升用户体验。In this embodiment, the user's daily usage behavior data is acquired by the data acquisition module to dynamically set and adjust the pre-set reliability threshold of the wake-up word, fully considering the user's personal use characteristics, effectively improving the wake-up rate and reducing the false wake-up rate, and improving the user experience.
注意，上述仅为本发明的较佳实施例及所运用技术原理。本领域技术人员会理解，本发明不限于这里所述的特定实施例，对本领域技术人员来说能够进行各种明显的变化、重新调整和替代而不会脱离本发明的保护范围。因此，虽然通过以上实施例对本发明进行了较为详细的说明，但是本发明不仅仅限于以上实施例，在不脱离本发明构思的情况下，还可以包括更多其他等效实施例，而本发明的范围由所附的权利要求范围决定。Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention. The scope is determined by the scope of the appended claims.
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