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Revisiting spectral envelope recovery from speech sounds generated by periodic excitation

机译:从周期性激励产生的语音重新审视频谱包络恢复

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We propose a set of new accurate spectral envelope recovery methods for speech sounds generated by periodic excitation based on a set of interference-free power spectrum representations. The proposed methods outperform our previous spectral recovery models used in legacy-STRAIGHT, TANDEM-STRAIGHT and WORLD VOCODERs. We introduce several design procedures of paired time widows which remove interferences caused by signal periodicity in the time domain or in both time and frequency domains. In addition to this interference-free representation, we introduce post and pre-processing to improve recovery accuracy around spectral peak regions. We conducted a set of evaluation tests using voice production simulator and natural speech samples. Finally, we discuss the application of the proposed method on revising high-quality VOCODERs.
机译:我们基于一组无干扰的功率谱表示,为周期性激励产生的语音提出了一套新的准确的频谱包络恢复方法。所提出的方法优于我们先前在传统-Straight,Tandem-Straight和WORLD VOCODER中使用的频谱恢复模型。我们介绍了成对的时间寡妇的几种设计程序,这些程序可以消除时域或时域和频域中信号周期性引起的干扰。除了这种无干扰的表示方式之外,我们还介绍了后期处理和预处理功能,以提高频谱峰值区域附近的恢复精度。我们使用语音产生模拟器和自然语音样本进行了一组评估测试。最后,我们讨论了所提出的方法在修改高质量VOCODER上的应用。

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