Research on Speech Visualization Technology and Its Application in English Listening Teaching

摘要

In order to improve the quality of English Listening Teaching, the characteristics analysis of speech signals in English Listening is taken based on speech visualization technology, and visualization research of speech in English listening teaching is realized. A listening speech signal feature extraction and recognition method is proposed based on sensing method of Mel frequency cepstral coefficients, the collected English speech signals are processed with action attributes matching of the pronunciation organs, MLP detector is used for information recognition and feature extraction of speech sounds, hierarchical artificial neural network is used for SSM decoding of the signal, the visual spectrum analysis of speech signals in English Listening Teaching is realized, the detection and recognition of English speech signal are obtained with matched filter detector, speech analysis and recognition ability of English listening teaching is improved, the expression ability of the matching features is stronger, the accuracy of speech recognition is better, and the application effect of English listening teaching is improved.