Title :
A novel approach for degraded speech recognition
Author :
Chen, Xi-Xian ; Cai, Chang-Nian
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
Abstract :
Summary form only given. In speech recognition, training and recognition processes can be conducted in different environments. For example, the word pattern may be extracted from clean speech, while the recognition may take place in background noise. Further more, since the vocabulary size is limited, it is possible, in the training phase, to extract the spectral information for all the words to be recognized. The noise reduction filter for each word can thus be constructed from this spectral information
Keywords :
filtering and prediction theory; interference suppression; spectral analysis; speech recognition; degraded speech recognition; noise reduction filter; spectral information; training phase; word pattern; Background noise; Data mining; Degradation; Information filtering; Information filters; Noise reduction; Pattern recognition; Speech enhancement; Speech recognition; Vocabulary;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184268