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A real-time tone enhancement method for continuous Mandarin speeches

机译:连续普通话语音的实时音调增强方法

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摘要

Chinese Mandarin is a tonal language. Tone perception ability of people with sensorineural hearing loss (SNHL) is often weaker than normal people. To help the SNHL people better perceive and distinguish tone information in Chinese speech, we focus on real-time tone enhancement method for mandarin continuous speeches. In this paper, based on the experimental investigation on the acoustic features most related to tone perception, we propose a practical tone enhancing model which employs the unified features independent of Chinese tonal patterns. Using this model, we further implement a real-time tone enhancement method which can avoid syllable segmentation and tonal pattern recognition. By the tone identification test for the normal and SNHL people under both quiet and noisy backgrounds, it is found that the enhanced speeches with the proposed method gains an average 5% higher correct rate compared to original speeches. And the time delay of the enhancement method can be controlled within 800ms, which can be further used in hearing aids to benefit the SNHL people in their daily life.
机译:中文普通话是一种声调语言。感音神经性听力丧失(SNHL)人的音调感知能力通常比正常人弱。为了帮助SNHL人们更好地感知和区分汉语语音中的音调信息,我们重点研究了普通话连续语音的实时音调增强方法。在本文中,基于对与音调感知最相关的声学特征的实验研究,我们提出了一种实用的音调增强模型,该模型采用独立于中国音调模式的统一特征。使用该模型,我们进一步实现了一种实时音调增强方法,该方法可以避免音节分割和音调模式识别。通过在安静和嘈杂的背景下对正常人和SNHL人进行语气识别测试,发现与原始语音相比,所提方法所增强的语音的正确率平均高出5%。增强方法的时间延迟可以控制在800ms以内,可以进一步用于助听器,使SNHL人的日常生活受益。

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