ISF Parameters Concealment Algorithm Based on the HMM Clustering Means for Wideband Speech
Wang Shi-kui①②; Zhou Lin①; Wu Zhen-yang①; You Hong-yan①
①College of Information Science and Engineering, Southeast University, Nanjing 210096, China; ②College of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China
Abstract：There exist inevitably frame losses in the transmission of wideband speech. Due to the influence of error propagation, the quality of the received speech decays rapidly. In this paper, large hidden Markov model is adopted to model the ISF parameter in wideband speech, and the best state sequences of ISF parameters of the several speech frames before the lost frame are determined using Viterbi Algorithm. Because of the large redundancy of the HMM states, the lost ISF parameters are substituted by the weighted values between the clustering means and the real values of the ISF parameters of the nearest received frame. The speech compensated by this algorithm is compared to which by Annex I of G.722.2 specification. Simulation shows that the algorithm in this paper can result in best speech, and smaller waveform and spectrum distortion.
2009, Vol. 31 
