Title :
A novel efficient decoding algorithm for CDHMM-based speech recognizer on chip
Author :
Zhu, Xuan ; Chen, Yining ; Liu, Jia ; Liu, Runsheng
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
The efficiency of decoding algorithm is the main limitation of realizing a CDHMM-based large-vocabulary name dialing application on consumer electronic products. To solve this problem, a novel efficient decoding algorithm, TPVD (two-pass Viterbi decoding), is represented. By coarse matching in the first pass, several high-confidence candidates are selected from hundreds. Then, fine matching in the second pass runs on base of those high-confidence candidates. Compared with traditional Viterbi beam search, the hardware resource requirement is significantly reduced. Meanwhile, the recognition accuracy and speed are satisfactory. This conclusion has been proven in an embedded Mandarin 600-name dialing system.
Keywords :
Viterbi decoding; consumer electronics; data compression; hidden Markov models; speech coding; speech recognition; CDHMM-based large-vocabulary; CDHMM-based speech recognizer; Viterbi beam search; chip; coarse matching; consumer electronic products; decoding algorithm efficiency; embedded Mandarin name dialing system; fine matching; hardware resource requirement; name dialing application; recognition accuracy; recognition speed; two-pass Viterbi decoding; Consumer electronics; Decoding; Hardware; Hidden Markov models; Mobile handsets; Personal digital assistants; Speech recognition; System-on-a-chip; Viterbi algorithm; Vocabulary;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1202352
