A New Hierarchical Structure for Speech Recognition by units smaller than words, using Wavelet Packet and SVM
نویسندگان
چکیده
This study proposes using units smaller than words, such as phonemes and syllables, as base units for speech recognition. The system presented here was developed with a hierarchical recognition logic based on the production characteristics of phonemes in Brazilian Portuguese. Decisions are made by Support Vector Machine neural networks grouped to form Specialist Machines. The descriptors used was the Wavelet Packet Transform (WPT) and Mel-Frequency Cepstral Coefficient (MFCC). The method proposed yielded good mean recognition rate results: 98.16% for vowel recognition and 98.41% for consonant recognition. Final total word recognition was 96.82%.
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