A Chunk-Based Phonetic Score for Mobile Voice Search

We propose a chunk-based phonetic score for re-scoring word hypotheses for the mobile voice search task. The score is based on a novel technique for aligning decoded phone sequences with forced-alignments of hypothesized word sequences and exploits phone-boundary timing information. In experimental results, we find that the proposed approach results in relative a word error rate reduction of 4.4% and a relative sentence error rate reduction of 2.3% for the Windows live search for mobile task.

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Publisher  IEEE International Confrence on Acoustics, Speech, and Signal Processing (ICASSP)

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TypeInproceedings
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