基于中文语音边界信息的人工耳蜗编码策略改进

Mingfei Wei, Huiqin Wang, Qingyang Fan, Li Jiang
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引用次数: 0

摘要

人工耳蜗编码策略一般是针对西方语言设计的,在中文语音识别中存在一定的局限性。将汉语语音边界信息与高级组合编码(ACE)策略相结合,利用从汉语语音边界信息中提取的沉默段、特殊噪声段和音节间隔信息,对ACE策略进行改进,提高了汉语语音识别能力,抑制了含噪语音的噪声成分。通过客观评价改进树皮谱失真(MBSD)的语音增强效果,结果表明,基于中文语音边界信息的改进ACE策略,与传统的CIS策略和ACE策略相比,语音增强和平均识别率都有提高。可有效提高人工耳蜗对汉语语音的识别效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement of Cochlear Implant Coding Strategy Based on Chinese Speech Boundary Information
The cochlear implant coding strategy is generally designed for Western languages and has certain limitations in Chinese speech recognition. The Chinese speech boundary information and the advanced combination encoding (ACE) strategy are combined to improve the ACE strategy by using the information of the silence segment, the special noise segment and the syllable interval extracted from the Chinese speech boundary information, which can enhance the Chinese speech recognition ability and suppress the noise components of the noisy speech. Through objective evaluating the effect of speech enhancement by modified bark spectral distortion (MBSD), the results show that the improved ACE strategy based on Chinese speech boundary information, compared with the traditional CIS strategy and the ACE strategy, speech enhancement and the average recognition rate are improved. It can effectively improved the recognition effect of the cochlea implant on Chinese speech.
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