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Improving the Syllable-Synchronous Network Search Algorithm for Word Decoding in Continuous Chinese Speech Recognition

ZHENG Fang; WU Jian; SONG Zhanjiang;   

  1. Center of Speech Technology; State Key Lab of intelligent Technology and Systems Department of Computer Science and Technology; Tsinghua University Beijing 100084; P.R. China;
  • Online:2000-09-10 Published:2000-09-10

The previously proposed syllable-synchronous network search (SSNS) algorithm plays a very important role in the word decoding of the continuous Chinese speech recognition and achieves satisfying performance. Several related key factors that may affect the overall word decoding effect are carefully studied in this paper, including the perfecting of the vocabulary, the big-discount Turing re-estimating of the N-Gram probabilities, and the managing of the searching path buffers. Based on these discussions, cor…

Key words: built-in self-test,at-speed test,multiple input shift register,state transition graph;



[1] Zheng F. A syllable-synchronous network search algorithm for word decoding in Chinese speech recognition. IEEE International Conf.Acoust., Speech and Signal Processing (ICASSP), March 15-19, 1999, Phoenix, USA, pp.II-601-604.

[2] Viterbi A J. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Trans. IT, 1967, 13(2).

[3] Lee C-H, Rabiner L R. A frame-synchronous network search algorithm for connected word recognition. IEEE Trans. ASSP, Nov. 1989, 37(11): 1649-1658. ……….
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ISSN 1000-9000(Print)

         1860-4749(Online)
CN 11-2296/TP

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