supported by the Natural Science Foundation of China(61271360);the Application Fundamental Research Project of Suzhou(SYG201230)
A new methodology of voice conversion in cepstrum eigenspace based on structured Gaussian mixture model is proposed for non-parallel corpora without joint training. For each speaker, the cepstrum features of speech ar...
supported by the National Natural Science Foundation of China(61201301);Program of Zhejiang Provincial Education Department(Y201016542)
A voice conversion algorithm,which makes use of the information between continuous frames of speech by compressed sensing,is proposed in this paper.According to the sparsity property of the concatenated vector of seve...
A new kind of feature for speech recognition, called Bi-Mel-scale Frequency Cepstrum (BMFC) is proposed. To calculate the BMFC, the speech signal is first segmented into short intervals and the bispectrum of each segm...