使用麦克风阵列的助听器语音增强

A. Ganeshkumar, J. Hammond, C. G. Rice
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引用次数: 0

摘要

我们的方法是基于使用频谱减法算法增强退化语音的短时频谱幅度(STSA)。使用谱减法增强语音在过去已经得到了相当广泛的研究[1,2]。这些研究普遍表明,语音质量有所提高,但可理解性的提高却微不足道。可理解性缺乏改善可以归结为两个主要因素。首先,由于之前所有关于谱减法算法应用的工作都局限于单输入系统,因此只能估计非语音活动期间的噪声短时间谱。这种方法不仅需要准确的语音-语音活动检测,这是一项困难的任务,特别是在低信噪比的情况下,而且还要求噪声足够平稳,以便在随后的语音期间使用估计。可理解性缺乏改善的第二个因素是由于频谱减法处理引入了令人讨厌的“音乐”类型的残余噪声。残留的噪音可能会分散听者的注意力。
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Speech Enhancement For Hearing Aids Using A Microphone Array
Our approach is based on enhancing the Short Time Spectral Amplitude (STSA) of degraded speech using the spectral subtraction algorithm. The use of spectral subtraction to enhance speech has been studied quite extensively in the past [1,2]. These studies have generally shown an increase in speech quality but the gain in intelligibility has been insignificant. The lack of improvement in intelligibility can be atmbiited to two main factors. The first being that since all previous work on the application of spectral subtraction algorithm have been confined to single input systems, the noise short time spectrum can only be estimated during non-speech activity periods. This approach not only requires accurate speechhion-speech activity detection a difficult task, particularly at low signal to noise ratiosbut also requires the noise to be sufficiently stationary for the estimate to be used during the subsequent speech period. The second factor for the lack of improvement in intelligibility is due to the annoying 'musical' type of residual noise introduced by spectral subtraction processing. This residual noise may distract the listener from the speech.
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An Overview of the MPEG/audio Compression Algorithm Acoustic Echo Cancellation for Stereophonic Teleconferencing A Single-Input Hearing Aid Based on the Auditory Perceptual Features to Improve Speech Intelligibility in Noise Models of Pitch Perception Perceptual Linear Predictive (PLP) Analysis-Resynthesis Technique
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