Title :
An efficient algorithm for syllable hypothesization in continuous Mandarin speech recognition
Author :
Huang, Eng-Fong ; Wang, Hsiao-Chuan
Author_Institution :
Telecommun. Lab., Minist. of Commun., Chung-Li, Taiwan
fDate :
7/1/1994 12:00:00 AM
Abstract :
An efficient search algorithm for generating syllable hypotheses in continuous Mandarin speech recognizer is proposed. The fast syllable hypothesizing algorithm consists of a forward, time-synchronous, modified Viterbi search and a parallel backtracking procedure. This algorithm can generate a lattice of syllable hypotheses with very low time delay. The superiority of the new algorithm to other direct sentence hypothesis algorithms is also experimentally demonstrated in terms of search efficiency and accuracy
Keywords :
natural languages; speech recognition; continuous Mandarin speech recognition; forward time-synchronous search; modified Viterbi search; parallel backtracking procedure; search accuracy; search algorithm; search efficiency; sentence hypothesis algorithms; speech recognizer; syllable hypotheses; time delay; Autocorrelation; Filters; Lattices; Linear predictive coding; Natural languages; Signal processing algorithms; Speech processing; Speech recognition; Stability; Vector quantization;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
