改进的小波阈值去噪在语音识别中的应用
李克粉;王直
【期刊名称】《计算机技术与发展》 【年(卷),期】2013(000)005
【摘要】At present,removal of environmental noise to improve the quality of voice signal has become an important direction for voice recognition technology. Wavelet threshold denoising method is a method widely applied to speech enhancement. However,the traditional wavelet threshold denoising method has many deficiencies,like wavelet coefficients processed by the hard threshold function is discontinu-ous in the positive and negative threshold values,resulting in the reconstructed signal oscillation;denoised voice processed by soft thresh-old function is too smooth and lose voice mutation part,which would affect the quality of the voice signal. It applied wavelet denoising to the front-end processing of speech recognition system,and proposed a new threshold function to improve the shortcomings of the tradi-tional threshold function of the wavelet threshold denoising method. It denoised speech signal with noise,and then identified. The experi-mental results show that the new proposed method makes speech recognition performance of the system with background noise significant-ly improved.% 目前消除环境噪声提高语音信号质量是语音识别技术研究的重要方向之一。小波阈值去噪法是一种常见的得到广泛应用的语
改进的小波阈值去噪在语音识别中的应用
