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Improved syllable loop based method for confidence measure.
Author(s): 
Pages: 113-116
Year: Issue:  14
Journal: Computer Engineering and Applications

Keyword:  speech recognitionconfidence measuresyllable loop;
Abstract: To improve robustness of automatic speech recognition system, a post-processing module called Confidence Measure (CM)is usually employed in state-of-the-art system to serve as error detection, Out-Of-Vocabulary(OOV)rejection, etc. In a command word speech recognition system, a traditional filler-based CM is adopted, the performance of which is poor especially for OOV detection. This paper presents an improved syllable loop based confidence measure method which simplifies the decod-ing network to meet the real application requirements. Experimental results on a Mandarin command word recognition show that the proposed method achieves significant improvement in both performance and efficiency when comparing to the baseline.
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