Evaluation and optimization of F0-adaptive spectral envelope estimation based on spectral smoothing with peak emphasis
Evaluation and optimization of F0-adaptive spectral envelope estimation based on spectral smoothing with peak emphasis
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基于峰值强调谱平滑的F0自适应谱包络估计评估与优化
DOI：
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Hideki Kawahara
中科院分区：
文献类型：
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作者：
Hayato Akagiri;M. Morise;R. Nisimura;T. Irino;Hideki Kawahara
提出了一种新的谱估计方法，以改善STREAT的处理声音质量。STREAT是一种广泛用于高质量语音和歌唱操作的语音分析、修改和再合成框架。将该方法应用于TANDEM-STREAT，这是STREAT的一个完全改写的版本，在传统的LPC、倒谱和传统-STREAT方法中得到了最好的谱包络逼近。TANDEM-STREAT由两部分组成，一种是周期信号的暂稳功率谱估计方法(TANDEM)，另一种是基于一致采样理论的谱包络计算方法。该方法使用F0自适应平滑和对数功率谱补偿，以提高频谱峰值的逼近精度，从而影响重合成声音的质量。为了优化该方法的内部参数，进行了一系列的仿真。使用风格化频谱和模拟语音频谱对优化后的系统进行了评估，并与传统方法进行了比较。该评估基于Itakura和Saitou提出的光谱距离度量，并对感知上相关的ERBN数字频率轴进行了修改。使用了以下一组光谱。用LF型激励谱测量的声道面积函数计算出的功率谱作为大体真实，并计算了该目标与估计谱之间的谱距离。在这种情况下，激励信号使用一组周期脉冲串。这些评价结果表明，在传统的LPC、倒谱和遗留直方图方法中，该方法得到的谱距离最小。
A new spectral estimation method which improves processed sound quality of STRAIGHT, a speech analysis, modification and re-synthesis framework widely used for high-quality speech and singing manipulations, is proposed. Application of the proposed method to TANDEM-STRAIGHT, a completely reformulated version of STRAIGHT, yielded the best spectral envelope approximation among conventional methods such as LPC, cepstrum and legacy-STRAIGHT. TANDEM-STRAIGHT consists of two parts, a temporarily stable power spectrum estimation method of periodic signals (TANDEM) and a spectral envelope calculation method based on consistent sampling theory. The proposed method uses F0-adaptive smoothing and compensation of logarithmic power spectrum, for improving approximation accuracy of spectral peaks, which effects on the quality of re-synthesized sound. A series of simulations was conducted to optimize internal parameters of the proposed method. The optimized system was evaluated and compared with conventional methods using stylized spectra and simulated speech spectra. The evaluation was based on a spectral distance measure proposed by Itakura and Saitou with modification to perceptually relevant ERBNnumber frequency axis. The following set of spectra were used. Power spectra calculated from vocal tract area functions measured using MRI data with LF-model excitation spectra were used as the grand truth and spectral distances between this target and the estimated spectra were evaluated. A set of periodic pulse train was used for excitation signal in this case. These evaluation results indicated that the proposed method yields the smallest spectrum distance among conventional methods such as LPC, cepstrum and legacy-STRAIGHT.
对三种语音类型的声门音量-速度波形进行建模。
DOI：
10.1121/1.412276
发表时间：
1995
期刊：
The Journal of the Acoustical Society of America
影响因子：
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作者：
Childers,DG;Ahn,C
通讯作者：
Ahn,C