Title :
Temporal pre-classification for Chinese voiceless consonant speech
Author :
Hongtao, HU ; Limin, Du
Author_Institution :
Inst. of Acoust., Acad. Sinica, Beijing, China
Abstract :
A pre-classification method and its digital signal processing algorithm implemented by short time Fourier transform for Chinese voiceless consonant speech are proposed. The important features of the spike fill of stops and C-V (C denotes voiceless consonant) boundary are detected and marked automatically first. Then, the Chinese voiceless consonants are divided into stops and non-stops according to these distinctive features. The stops are further divided into unaspirated stops, aspirated-fricative stops. Testing on a data set of 910 C-V syllables from a database of 1267 Chinese all-syllable tokens spoken by a male speaker shows that the algorithm performs well with a 92.4% average correct rate. The proposed method and algorithm are of value to improve the mechanism and performance of a Chinese speech recognition system
Keywords :
discrete Fourier transforms; feature extraction; natural languages; speech processing; speech recognition; C-V syllables; Chinese all-syllable tokens; Chinese speech recognition system; Chinese voiceless consonant speech; DFT; aspirated-fricative stops; average correct rate; data set; database; digital signal processing algorithm; male speaker; nonstop consonants; performance; preclassification method; short time Fourier transform; spike fill; stop consonants; temporal preclassification; unaspirated stops; voiceless consonant boundary; Capacitance-voltage characteristics; Digital integrated circuits; Digital signal processing; Hidden Markov models; Robustness; Signal processing algorithms; Spatial databases; Speech processing; Speech recognition; Testing;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567379
