Nonlinear dynamic method is used in studying Chinese spoken in normal speed, and the improved correlation dimension algorithm are made for the characterization of speech signal. The reconstructed phase space and corre...Nonlinear dynamic method is used in studying Chinese spoken in normal speed, and the improved correlation dimension algorithm are made for the characterization of speech signal. The reconstructed phase space and correlation dimension curves of unvoiced fricative consonants and vowels are also given. It is found that the correlation dimension algorithm can distinguish fricative from vowel because of the different mechanism between them. And the study shows that it can provide information for distinguishing four basic tones in mandarin.展开更多
A variable-bit-rate characteristic waveform interpolation （VBR-CWI） speech codec with about 1.8 kbit/s average bit rate which integrates phonetic classification into characteristic waveform （CW） decomposition is p...A variable-bit-rate characteristic waveform interpolation （VBR-CWI） speech codec with about 1.8 kbit/s average bit rate which integrates phonetic classification into characteristic waveform （CW） decomposition is proposed. Each input frame is classified into one of 4 phonetic classes. Non-speech frames are represented with Bark-band noise model. The extracted CWs become rapidly evolving waveforms （REWs） or slowly evolving waveforms （SEWs） in the cases of unvoiced or stationary voiced frames respectively, while mixed voiced frames use the same CW decomposition as that in the conventional CWI. Experimental results show that the proposed codec can eliminate most buzzy and noisy artifacts existing in the fixed-bit-rate characteristic waveform interpolation （FBR-CWI） speech codec, the average bit rate can be much lower, and its reconstructed speech quality is much better than FS 1 016 CELP at 4.8 kbit/s and similar to G. 723.1 ACELP at 5.3 kbit/s.展开更多
基金National Natural Science Foundation of China!(No. 19834040).
文摘Nonlinear dynamic method is used in studying Chinese spoken in normal speed, and the improved correlation dimension algorithm are made for the characterization of speech signal. The reconstructed phase space and correlation dimension curves of unvoiced fricative consonants and vowels are also given. It is found that the correlation dimension algorithm can distinguish fricative from vowel because of the different mechanism between them. And the study shows that it can provide information for distinguishing four basic tones in mandarin.
文摘A variable-bit-rate characteristic waveform interpolation （VBR-CWI） speech codec with about 1.8 kbit/s average bit rate which integrates phonetic classification into characteristic waveform （CW） decomposition is proposed. Each input frame is classified into one of 4 phonetic classes. Non-speech frames are represented with Bark-band noise model. The extracted CWs become rapidly evolving waveforms （REWs） or slowly evolving waveforms （SEWs） in the cases of unvoiced or stationary voiced frames respectively, while mixed voiced frames use the same CW decomposition as that in the conventional CWI. Experimental results show that the proposed codec can eliminate most buzzy and noisy artifacts existing in the fixed-bit-rate characteristic waveform interpolation （FBR-CWI） speech codec, the average bit rate can be much lower, and its reconstructed speech quality is much better than FS 1 016 CELP at 4.8 kbit/s and similar to G. 723.1 ACELP at 5.3 kbit/s.
