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WAVELET THRESHOLDING TECHNIQUES IN SPEECH SIGNAL DENOISING

机译:语音信号去噪中的小波阈值技术

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摘要

Voice produced by laryngectomy subjects implanted with voice prosthesis is considered in this study. Hard and soft wavelet thresholding techniques and Neighshrink denoising techniques are implemented. The performance of denoising is evaluated through objective measures. The quantitative results obtained are compared to assess the best performing technique. The performance of Neighshrink is observed to be significantly better than the hard and soft thresholding techniques. Neighshrink is able to mitigate noise and enhance speech quality without introducing speech distortion.
机译:在本研究中考虑了植入语音假体的喉切除术语产生的声音。实现了硬和柔软的小波阈值技术和邻居弃头传播技术。通过客观措施评估去噪的表现。比较所获得的定量结果以评估最佳性能的技术。观察到邻居的性能明显优于硬阈值和软阈值技术。 Edgenshrink能够缓解噪声并增强语音质量而不会引入语音失真。

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