Comparative study on VQ-based efficient mandarin speech recognition method

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.