关键词: 语音识别, 置信度判决, 音节循环

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 decoding 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.

Key words: speech recognition, confidence measure, syllable loop