Speech intelligibility measures for speech enhancement under nonstationary acoustic noise

R. Tavares, L. Zão, R. Coelho
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Abstract

This paper presents the study of four objective intelligibility measures to evaluate the performance of speech enhancement techniques. The objective measures have high correlation with the speech intelligibility rates obtained in subjective listening tests. Four noise reduction algorithms are applied to enhance the speech signals corrupted by real highly nonstationary acoustic noises. The results show that, for most of the noise conditions, the best intelligibility results are obtained by the speech enhancement technique based on the empirical mode decomposition. Moreover, the Wiener filtering based technique also achieves interesting intelligibility gain for the highly nonstationary noises.
非平稳噪声下语音清晰度增强的方法
本文研究了四种客观的可理解度指标来评价语音增强技术的性能。客观测量结果与主观听力测试中获得的语音可理解率有较高的相关性。采用四种降噪算法对被高度非平稳噪声干扰的语音信号进行增强。结果表明,在大多数噪声条件下,基于经验模态分解的语音增强技术可获得最佳的可理解性效果。此外,基于维纳滤波的技术对于高度非平稳的噪声也获得了有趣的可理解性增益。
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