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Abstract

In this paper, a homotopy-based method is employed for the recovery of speech recordings from missing or corrupted samples taken in a noisy environment. The model for the acquisition device is a compressed sensing scenario using Gabor frames. To recover an approximation of the speech file, we used the basis pursuit denoising method with the homotopy continuation algorithm. We tested the proposed method with various speech recordings.

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语音恢复的同伦延拓。
本文采用一种基于同伦的方法从噪声环境中采集的丢失或损坏的样本中恢复语音记录。采集设备的模型是使用Gabor帧的压缩感知场景。为了恢复语音文件的近似值,我们使用了基追踪去噪方法和同伦延拓算法。我们用各种语音记录测试了所提出的方法。
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On Homotopy Continuation for Speech Restoration.
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