Phonetic Sequence to Graphemes Conversion Based on DTW and One-Stage Algorithms
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This work proposes an algorithm for converting phonetic sequences into graphemes using DTW on the recognition of isolated words or closed sentences, and using One-Stage on a continuous speech recognition task. Most speech recognition systems resolve the task of recognition on a single stage without having an intermediate phonetic sequence result. The proposed solution is hybrid in the sense that it uses HMMs and Viterbi Decoding for recognizing a phonetic sequence (actually, triphones) and then DTW or One-Stage to generate the corresponding graphemes. Experimental results showed an average accuracy rate of 100% on the recognition of closed sentences, and average word recognition rate of 84% for the continuous speech recognition task.
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