Tibetan language speech recognition method based on HMM and DNN

The invention relates to the field of artificial intelligence, the invention provides a Tibetan language speech recognition system based on an HMM-DNN (hidden Markov model-deep neural network). According to the Tibetan language speech recognition method based on the HMM and the DNN, a deep learning...

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Bibliographic Details
Main Authors WEI JIANGUO, HAN ZHICHENG, LYU XUKANG
Format Patent
LanguageChinese
English
Published 22.09.2020
Subjects
ACOUSTICS
MUSICAL INSTRUMENTS
PHYSICS
SPEECH ANALYSIS OR SYNTHESIS
SPEECH OR AUDIO CODING OR DECODING
SPEECH OR VOICE PROCESSING
SPEECH RECOGNITION
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Summary:The invention relates to the field of artificial intelligence, the invention provides a Tibetan language speech recognition system based on an HMM-DNN (hidden Markov model-deep neural network). According to the Tibetan language speech recognition method based on the HMM and the DNN, a deep learning training model is combined with Tibetan language which is a low-resource corpus, a Tibetan language-based establishment model is trained, Tibetan language speech is recognized, and the human-computer interaction efficiency of Tibetan people is improved, and the Tibetan language speech recognition method based on the HMM and the DNN comprises the following steps of 1, recording Tibetan language speech data; 2, carrying out data preparation; 3, constructing a language model and a pronunciation dictionary; 4, training a single-phoneme model; 5, training a three-tone sub-model; 6, performing linear discriminant analysis and maximum likelihood linear transformation, and performing decoding and alignment; 7, carrying out
Bibliography:Application Number: CN202010397525