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Muckenhirn et al., 2019 - Google Patents

Understanding and Visualizing Raw Waveform-Based CNNs.

Muckenhirn et al., 2019

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Document ID
3350966041745670780
Author
Muckenhirn H
Abrol V
Magimai-Doss M
Marcel S
Publication year
Publication venue
Interspeech

External Links

Snippet

Modeling directly raw waveforms through neural networks for speech processing is gaining more and more attention. Despite its varied success, a question that remains is: what kind of information are such neural networks capturing or learning for different tasks from the …
Continue reading at www.isca-archive.org (PDF) (other versions)

Classifications

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    • G10MUSICAL INSTRUMENTS; ACOUSTICS
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    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/66Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
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    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • GPHYSICS
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    • G10L15/08Speech classification or search
    • G10L15/14Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
    • G10L15/142Hidden Markov Models [HMMs]
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    • G10L17/00Speaker identification or verification
    • G10L17/26Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
    • GPHYSICS
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    • G10L21/00Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
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    • G10L21/00Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/003Changing voice quality, e.g. pitch or formants
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    • G10L25/93Discriminating between voiced and unvoiced parts of speech signals
    • GPHYSICS
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    • G10L25/27Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the analysis technique
    • G10L25/30Speech or voice analysis techniques not restricted to a single one of groups G10L15/00-G10L21/00 characterised by the analysis technique using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
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    • G10L19/00Speech or audio signal analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signal, using source filter models or psychoacoustic analysis

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