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中国物理学会期刊

基于人耳听觉模型的自动嗓音评估方法

CSTR: 32037.14.aps.57.4244

Automatic pathological voice evaluation based on auditory model

CSTR: 32037.14.aps.57.4244
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  • 在嗓音评估系统的长元音谐噪比分析中,针对传统方法在普通傅里叶变换域上进行谐波成分计算并且需要对样本进行人工选择切分的情况,提出了一种新谐噪比计算方法,能够自动切分出长元音中稳定部分,并采用了更贴近人耳听觉模型的时频分析办法,使对长元音的分析能够更稳定更贴近人耳主观听觉.同时由于没有人工干预,使得评估标准更加统一,结果更加客观.

     

    Sustained vowel analysis is an important method in pathological voice evaluation system. In view of the fact that conventional methods generally analyzes the hand-cut samples in FFT frequency domain, an auditory model is proposed as an accurate and robust method for use in pathological vowel analysis. An automatic sample cutting method increases the stability of analysis. Expertiment showed this method is more effective and robust.

     

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