A Short-Time Spectrum Estimation Algorithm of Speech Enhancement under the Distortion Control

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A Short-Time Spectrum Estimation Algorithm of Speech Enhancement under the Distortion Control

更新时间：2025-07-09

- A Short-Time Spectrum Estimation Algorithm of Speech Enhancement under the Distortion Control
- Vol. 45, Issue 8, Pages: 78-84(2011)
- 作者机构：
  
  重庆大学通信工程学院,重庆,400030
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN912.35
- Online First：10 August 2011，
  
  Published：2011
- 稿件说明：
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A Short-Time Spectrum Estimation Algorithm of Speech Enhancement under the Distortion Control[J]. 2011, 45(8): 78-84.
DOI：

A Short-Time Spectrum Estimation Algorithm of Speech Enhancement under the Distortion Control[J]. 2011, 45(8): 78-84. DOI：

摘要

针对传统谱估计增强算法易产生语音畸变、导致语音清晰度低的问题

提出了一种失真控制下的短时谱估计语音增强的新算法. 该算法首先引入语音畸变的客观度量参数

并根据这一参数得到抑制语音畸变的约束条件

然后结合人耳听觉掩蔽特性和无语音概率参数

修正最小均方误差对数谱估计函数

最后联立约束条件和估计函数

得到增强后的语音

从而实现了在噪声抑制和语音畸变之间的折中

改善了语音增强的效果. 主观试听和客观测试结果均表明

与其他谱减法相比

在相同的信噪比和去噪度条件下

新算法的语音畸变度最小且几乎察觉不到音乐噪声.

Abstract

A novel short-time spectrum estimation algorithm of speech enhancement based on distortion control is presented to overcome the speech distortion and low speech intelligibility in conventional method. An objective measurement parameter of speech distortion is introduced in the algorithm and a constraint condition is generated according to the parameter. Then

a modified log spectral amplitude estimation algorithm is proposed based on the speech absence probabilityand masking properties of the human auditory system. Finally

the enhanced speech is obtained by relating the constraint condition with the estimation algorithm. The new algorithm gets a better performance and the trade-off between noise reduction and speech distortions is achieved. Tests on objective measurements combined with informal subjective listening show that the proposed algorithm has a better performance of speech intelligibility without any perceptional musicality than other spectral subtraction algorithms under the same level of SNR and noise reduction.

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references

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EPHRAIM Y, MALAH D. Speech enhancement using a minimum mean square error short-time spectral amplitude estimator [J]. IEEE Transactions on Acoustics,Speech and Signal Processing, 1984, 2(6): 1109-1121.

EPHRAIM Y, MALAH D. Speech enhancement using a minimum mean square error log spectral amplitude estimator [J]. IEEE Transactions on Acoustics, Speech, and Signal Processing,1985, 3(2): 443-445.

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朴凡亮, 王为民, 戴启军,等. 基于噪声被掩蔽概率的优化语音增强方法[J].电子与信息学报, 2005, 27(5): 753-756.

PU Fanliang, WANG Weiming, DAI Qijun,et a1. Optimizing speech enhancement based on noise marked probability [J]. Journal of Electronics and Information Technology, 2005, 27(5): 753-756.

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