东南大学学报（英文版）2009，Vol.25Issue(2)：152-155,4.
基于大型隐马尔可夫模型的宽带语音丢帧补偿
Frame erasure concealment in wideband speech coding based on large hidden Markov model
摘要
Abstract
Frame erasure concealment is studied to solve the problem of rapid speech quality reduction due to the loss of speech parameters during speech transmission. A large hidden Markov model is applied to model the immittance spectral frequency (ISF) parameters in AMR-WB codec to optimally estimate the lost ISFs based on the minimum mean square error (MMSE) rule. The estimated ISFs are weighted with the ones of their previous neighbors to smooth the speech, resulting in the actual concealed ISF vectors. They are used instead of the lost ISFs in the speech synthesis on the receiver. Comparison is made between the speech concealed by this algorithm and by Annex I of G. 722. 2 specification, and simulation shows that the proposed concealment algorithm can lead to better performance in terms of frequency-weighted spectral distortion and signal-to-noise ratio compared to the baseline method, with an increase of 2. 41 dB in signal-to-noise ratio (SNR) and a reduction of 0. 885 dB in frequency-weighted spectral distortion.关键词
丢帧补偿/宽带语音/大型隐马尔可夫模型/ISF参数Key words
frame erasure concealment/wideband speech/large hidden Markov model/immittance spectral frequency(ISF) pa-rameter分类
信息技术与安全科学引用本文复制引用
王仕奎,汤一彬,尤红岩,吴镇扬..基于大型隐马尔可夫模型的宽带语音丢帧补偿[J].东南大学学报（英文版）,2009,25(2):152-155,4.基金项目
The Science Foundation of Southeast University (No.XJ0704268), the Natural Science Foundation of the Education Departmentof Anhui Province(No. 10200713088). （No.XJ0704268）
