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Multi-language speech recognition method based on language type and speech content collaborative classification

A technology of speech content and language types, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of low speech content recognition performance and a large amount of manual labeling work, so as to save manual labeling work, improve recognition performance, and improve performance Effect

Active Publication Date: 2020-03-20
INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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AI Technical Summary

Problems solved by technology

This method requires prior knowledge of language-related information in the model training and testing stages, requires a lot of manual annotation work, and the performance of speech content recognition is not high

Method used

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  • Multi-language speech recognition method based on language type and speech content collaborative classification
  • Multi-language speech recognition method based on language type and speech content collaborative classification
  • Multi-language speech recognition method based on language type and speech content collaborative classification

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Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0034] The present invention provides a multilingual speech recognition system based on the collaborative classification of language types and speech content, the system comprising: a signal processing and feature extraction module, a pronunciation dictionary, a language model, a decoder, and an ac...

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Abstract

The invention discloses a multi-language speech recognition method based on language type and speech content collaborative classification. The method comprises the following steps: 1) establishing andtraining a language type and speech content collaborative classification acoustic model; wherein the acoustic model is fused with a language feature vector containing language related information, and model adaptive optimization can be performed on a phoneme classification layer of a specific language by utilizing the language feature vector in a multi-language recognition process; 2) inputting aspeech feature sequence to be recognized into the trained language type and speech content collaborative classification acoustic model, and outputting phoneme posteriori probability distribution corresponding to the feature sequence; the decoder generating a plurality of candidate word sequences and acoustic model scores corresponding to the candidate word sequences in combination with the sequence phoneme posteriori probability distribution of the features; and 3) combining the acoustic model scores and the language model scores of the candidate word sequences to serve as an overall score, and taking the candidate word sequence with the highest overall score as a recognition result of the voice content of the specific language.

Description

technical field [0001] The invention relates to the field of multilingual speech recognition, in particular to a multilingual speech recognition method based on cooperative classification of language types and speech content. Background technique [0002] At present, the automatic speech recognition technology is very mature. Under the technical research of some speech recognition institutions, the recognition accuracy of the automatic speech recognition system can reach 94.5%, which can be said to have reached the human auditory perception ability. But this excellent automatic speech recognition system is limited to a few widely used languages, such as English and French. There are more than 5,000 languages ​​spoken by people all over the world, but only 10 of these 5,000 languages ​​are widely used, they are: Chinese, English, Russian, Spanish, Hindi, Arabic , Portuguese, Bengali, German and Japanese. For other languages, due to the small number of users, it is difficult...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/06G10L15/00G10L15/08
CPCG10L15/063G10L15/005G10L15/08
Inventor 徐及刘丹阳张鹏远颜永红
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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