Title :
Study on formants extraction and recognition of Chinese voiced sound based on fuzzy rules
Author :
Kai, Zhang ; Ye, Sheng ; Pu-qiang, Yan
Author_Institution :
Dept. of Precision Instrum., Tsinghua Univ., Beijing, China
Abstract :
The questions of feature selection and extraction in the recognition of continuous Chinese speech are discussed. First, the characteristics of Chinese and a knowledge of enunciation, audition and Chinese phonetics are exploited completely, and then Chinese voiced sound recognition based on the spectrum structure is presented. Finally, the extraction of the formants, one of the most important voiced sound spectrum features, is discussed in detail. A series of rules for the extraction of Chinese voiced sound based on a fuzzy knowledge process are put forward. In addition, we discuss some problems that are easily found in the formant extraction processes of the voiced sound. We also give solutions by using a typical example and the result is optimistic
Keywords :
feature extraction; fuzzy systems; inference mechanisms; knowledge based systems; natural languages; spectral analysis; speech processing; speech recognition; Chinese phonetics; Chinese voiced sound; Chinese voiced sound recognition; audition; continuous Chinese speech recognition; enunciation; feature extraction; feature selection; formants extraction; formants recognition; fuzzy knowledge process; fuzzy rules; rules; spectrum structure; voiced sound spectrum features; Character recognition; Data mining; Feature extraction; Instruments; Loudspeakers; Pattern recognition; Robustness; Shape; Spectrogram; Speech recognition;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567382
