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Improving the syllable-synchronous network search algorithm for word decoding in continuous Chinese speech recognition

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Abstract

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 theN-Gram probabilities, and the managing of the searching path buffers. Based on these discussions, corresponding approaches to improving the SSNS algorithm are proposed. Compared with the previous version of SSNS algorithm, the new version decreases the Chinese character error rate (CCER) in the word decoding by 42.1% across a database consisting of a large number of testing sentences (syllable strings).

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References

  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).

    Article  Google Scholar 

  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.

    Google Scholar 

  4. Zheng F. Studies on approaches to keyword spotting in unconstrained continuous speech [dissertation]. Dept. of Computer Sci. & Tech., Tsinghua University, May 1997.

  5. Zheng F, Mou X-L, Xu M-Xet al. The implementation of a speech-to-text editor. In5th National Conference on Man-Machine Speech Communication (NCMMSC-98), 1998, pp.280–285. (in Chinese)

  6. Zheng F, Song Z-J, Xu M-X,et al. EasyTalk: A large-vocabulary speaker-independent Chinese dictation machine. InEuroSpeech’99, Budapest, Sept. 1999, 2: 819–822.

  7. Nadas A. On turing’s formula for word probabilities.IEEE Trans. on ASSP, June 1985, ASSP-33(6).

  8. Mou X-L, Zhan J-M, Zheng F, Wu W-H. The back-off algorithm based N-gram language model. In5th National Conference on Man-Machine Speech Communication (NCMMSC-98), 1998, pp.206–209. (in Chinese)

  9. Zheng F, Mou X-L, Wu W-H, Fang D-T. On the embedded multiple-model scoring scheme for speech recognition.International Symposium on Chinese Spoken Language Processing (ISCSLP’98), Singapore, Dec. 7–9, 1998, ASR-A3, pp.49–53.

  10. Katz S M. Estimation of probabilities from sparse data for the language model component of a speech recognizer.IEEE Trans. ASSP, March 1987, 35(3): 400–401.

    Article  Google Scholar 

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Authors and Affiliations

  1. Center of Speech Technology, State Key Lab of Intelligent Technology and Systems Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, P.R. China

    Zheng Fang, Wu Jian & Song Zhanjiang

Authors
  1. Zheng Fang
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  2. Wu Jian
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  3. Song Zhanjiang
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Corresponding author

Correspondence to Zheng Fang.

Additional information

ZHENG Fang currently is an associate professor of Tsinghua University. He is an Associate Director of the Department of Computer Science & Technology, the Director of the Speech Lab, and also the Director of the Analog Devices Inc. — Tsinghua DSP Technology Research Center. Dr. Zheng graduated from the Department of Computer Science & Technology of Tsinghua University and received his B.S., M.S. and Ph.D. degrees from Tsinghua University in 1990, 1992 and 1997, respectively. His research interests include acoustic/language modeling, isolated/continuous speech recognition, keyword spotting, dictating, language understanding and so on. Dr. Zheng is an IEEE member, a member of editing committee of the Journal of Chinese Information Processing.

WU Jian was born in 1975. He received his B.S. degree in computer science and technology from the Department of Computer Science and Technology, Tsinghua University in 1998. He currently is an M.S. candidate in computer application. His research interests include speech recognition and language processing.

SONG Zhanjiang was born in 1972. He received his B.S. degree in computer software in 1994, and his M.S. degree in computer application in 1997, both from the Depertment of Computer and System Sciences, Nankai University. Currently, he is a Ph.D. candidate of the Department of Computer Science and Technology, Tsinghua University, majoring in computer application. His research interests include speech recognition and language understanding.

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Zheng, F., Wu, J. & Song, Z. Improving the syllable-synchronous network search algorithm for word decoding in continuous Chinese speech recognition. J. Comput. Sci. & Technol. 15, 461–471 (2000). https://doi.org/10.1007/BF02950410

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  • DOI: https://doi.org/10.1007/BF02950410

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