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Efficient decoding algorithms for Mandarin connected digit speech recognition

机译:用于普通话连接数字语音识别的高效解码算法

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摘要

In this paper, a set of efficient decoding algorithms based on a speaker independent Mandarin connected digit speech recognition system is proposed. By simplifying the computation of observation probabilities and adopting an improved beam search pruning algorithm combined with duration information, the average decoding time is reduced from 0.92 second to 0.11 second per digit string while the recognition rate of unknown-length string is only decreased from 94.3% to 94.0%.
机译:在本文中,提出了一组基于扬声器独立普通话连接数字语音识别系统的高效解码算法。通过简化观察概率的计算并采用与持续时间信息组合的改进的光束搜索修剪算法,平均解码时间从0.92秒减小到0.11秒,而未知长度串的识别率才能从94.3%下降到94.0%。

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