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The Effect of SNR and GCI Perturbation on Speech Synthesis with Harmonic plus Noise Model

机译:SNR和GCI扰动对谐波加噪声模型语音合成的影响

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Harmonic plus noise model (HNM) divides the speech spectrum in two bands: harmonic and noise. As most of the non-periodic components are removed in harmonic part, it may be expected that HNM synthesis is less susceptible to additive noise in input speech. As HNM analysis/synthesis is performed at each glottal closure instant (GCI), errors in estimation of GCIs affect the quality of the synthesized speech. Effects of the amount of additive broadband noise in input speech and perturbation in GCIs on the synthesized speech quality with special reference to phoneme sets in Indian languages were studied. Synthesis results show that for SNR in the 2-10 dB range, the quality of synthesized speech is superior to that of the input speech. Investigations also show that the speech quality is very sensitive to positions of the GCIs. Perturbations above 8 % severely affect quality of the output speech.
机译:谐波加噪声模型(HNM)将语音频谱分为两个频段:谐波和噪声。随着大多数非周期性组分在谐波部分中被除去,可以预期HNM合成在输入语音中的加性噪声​​易受易感。由于HNM分析/合成在每个引光闭合瞬间(GCI),估计GCIS的误差会影响合成语音的质量。研究了加入宽带噪声量的影响,GCIS在合成语音质量上特别参考印地语语言综合演讲质量。合成结果表明,对于SNR在2-10 dB范围内,合成语音的质量优于输入语音。调查还表明,语音质量对GCI的位置非常敏感。超过8%的扰动严重影响产出语音的质量。

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