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Pitch Restoration for Robust Speech Recognition

机译:音调恢复以实现可靠的语音识别

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摘要

This article suggests a based spectral normalization method, which purpose is to alleviate both the changing on peaks structure and on the flat zones of the speech spectrum, caused by additive noise. The proposed spectral normalization can be viewed as a noise estimate done in a frame by frame basis by assuming the clean database as lightly corrupted. This noise estimate is then used to restore both the peaked and the flat spectral zones of the speech spectrum. This algorithm was implemented over a baseline spectral normalisation method, which purpose is to emphasize the robustness in the regions of less energy of the speech spectrum, since in these regions the noise is more dominant.
机译:本文提出了一种基于频谱的归一化方法,其目的是减轻由加性噪声引起的峰值结构和语音频谱平坦区域的变化。通过假设干净的数据库轻微损坏,可以将建议的频谱归一化视为在逐帧的基础上进行的噪声估计。然后,该噪声估计将用于恢复语音频谱的峰值频谱区域和平坦频谱区域。该算法是在基线频谱归一化方法之上实施的,其目的是强调语音频谱能量较小的区域中的鲁棒性,因为在这些区域中,噪声更为占优势。

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