北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 1999, Vol. 22 ›› Issue (3): 31-34.

• 学术论文 • 上一篇    下一篇

小波去噪在语音识别中的应用

胡惠英, 吴善培   

  1. 北京邮电大学电信工程学院, 北京 100876
  • 收稿日期:1999-01-15 出版日期:1999-07-10

Application of Wavelet Denoising in Speech Recognition

Hu Huiying, Wu Shanpei   

  1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876
  • Received:1999-01-15 Online:1999-07-10

摘要: 将小波应用于语音识别的预处理中, 对带噪语音信号在小波域内区分语音的清、 浊音, 分别用门限进行不同的处理, 将去噪后的小波系数反变换后再进行语音识别.实验结果表明, 小波去噪对在噪声环境下的语音识别性能有很大的改进.

关键词: 语音识别, 小波, 门限

Abstract: The performance of most current speech recognition systems degrades markedly innoisy environment. So, how to improve the robustness of system is the focus ofthe current speech recognition. The wavelet to the pre-process of the noisy speech recognition is applied, distinguishes the voiced from unvoiced speech in thewavelet domain, and deals with the voiced and unvoiced speech with threshold differently, and then performs the recognition after the inverse-transformation of denoising wavelet coefficients. The result demonstrates that the wavelet process is promising to the performance of noisy speech recognition.

Key words: speech recognition, wavelet, thresholding method

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