基于音高轮廓的汉语孤立词识别方法

Chunming Wei, Yingchun Yang
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引用次数: 2

摘要

本文通过将候选音高轮廓与一组模板进行匹配,尝试将音高轮廓用于汉语孤立词识别。为了将其应用于与说话人无关的语音识别中,我们提出了一种消除音高轮廓中说话人信息的补救算法。分别进行了依赖于说话人和独立于说话人的语音识别实验,以评估基音轮廓和MFCC的性能。实现了MFCC的乐谱融合和修正的基音轮廓。实验结果表明,在依赖说话人的语音识别中,音高轮廓与MFCC具有相当的性能。通过乐谱融合,改进的音高轮廓有助于提高与说话人无关的语音识别性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mandarin isolated words recognition method based on pitch contour
In this paper, we attempt to use pitch contour in Mandarin isolated words recognition by matching candidate pitch contour with a set of templates. To apply it in speaker-independent speech recognition, we propose a remedy algorithm to weaken speaker information in pitch contour. Speaker-dependent and - independent speech recognition experiments are carried out to evaluate performance of pitch contour and MFCC. Score fusion of MFCC and revised pitch contour are implemented. Experimental results demonstrate that pitch contour performs comparably with MFCC in speaker-dependent speech recognition. Through score fusion, the revised pitch contour helps in improving performance in speaker-independent speech recognition.
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