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| Optimization of Decoding Thresholds Parameters in Continuous Speech Recognition |
| YIN Ming-Ming, LI Bi-Cheng, QU Dan, NIU Tong |
| School of Information Engineering,Information Engineering University of PLA,Zhengzhou 450002 |
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Abstract As the current pruning thresholds can not take decoding speed and accuracy into account at the same time in continuous speech recognition, a joint optimization algorithm of multi-dimension pruning thresholds parameters is proposed. The pruning thresholds, including the main beam pruning, the word end pruning, the number of active modes and the tokens, are mainly studied in the proposed algorithm. The multi-objectives theory is adopted to optimize these parameters jointly. And then the strategy of segment-based dynamic thresholds pruning is introduced to deal with the results. The experimental results show that the performance of decoder is improved, the search space of decoding gets effective control, and the request of speed and accuracy can be satisfied.
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Received: 28 February 2011
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2012, Vol. 25 
