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Aldarmaki et al., 2022 - Google Patents

Unsupervised automatic speech recognition: A review

Aldarmaki et al., 2022

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Document ID
5784148387725553104
Author
Aldarmaki H
Ullah A
Ram S
Zaki N
Publication year
Publication venue
Speech Communication

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Abstract Automatic Speech Recognition (ASR) systems can be trained to achieve remarkable performance given large amounts of manually transcribed speech, but large labeled data sets can be difficult or expensive to acquire for all languages of interest. In this …
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Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • G10L15/19Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
    • G10L15/197Probabilistic grammars, e.g. word n-grams
    • GPHYSICS
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    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • G10L15/187Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
    • GPHYSICS
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    • G10L15/1822Parsing for meaning understanding
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    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065Adaptation
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    • G10L15/30Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
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    • 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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