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Comparative study on VQ-based efficient mandarin speech recognition method

机译:基于VQ的高效普通话语音识别方法的比较研究

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A VQ-based efficient recognition method is introduced, and the key parameters of this method are comparatively studied. This method is especially designed for mandarin speaker-dependent small-size word set recognition. It has less complexity, less resource consumption but higher ARR (accurate recognition rate) compared with traditional HMM or NN approach. A large-scale test on the task of 11 mandarin digits recognition shows that the WER (work error rate) can reach 3.86. This method is suitable for being embedded in PDA (personal digital assistant), mobile phone and so on to perform voice controlling like digits dialing, name dialing, calculating, voice commanding, etc.
机译:介绍了一种基于VQ的高效识别方法,并对该方法的关键参数进行了比较研究。该方法专为普通话使用者依赖的小尺寸词集识别而设计。与传统的HMM或NN方法相比,它具有更低的复杂性,更少的资源消耗,但更高的ARR(准确识别率)。对11个普通话数字识别任务的大规模测试表明,WER(工作错误率)可以达到3.86%。该方法适用于嵌入PDA(个人数字助理)、手机等进行语音控制,如数字拨号、姓名拨号、计算、语音命令等。

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