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Waveform-based speech synthesis approach with a formant frequency modification

机译:基于共振峰频率修改的基于波形的语音合成方法

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A novel approach to speech synthesis based on waveform segments is proposed. One novel point of this approach is its new formant frequency modification algorithm which makes it possible to change formant frequency flexibly and so reproduce the desired speech quality. The algorithm characterizes speech formants not only by formant frequencies and formant bandwidths, but also by spectral intensities of formant frequencies. The desirable formant structure, which is specified by the parameters, is obtained by iteratively modifying the formant bandwidths. Using the specified formant structure, the speech signal is synthesized by the FFT (fast Fourier transform). Evaluation by the acoustic distance measure and by listening tests confirms the good performance of the approach. As evaluated by listening tests, the proposed method was found to increase significantly the naturalness of speech and clearly to increase speech quality.
机译:提出了一种基于波形段的语音合成新方法。这种方法的一个新颖之处在于其新的共振峰频率修改算法,该算法使得可以灵活地改变共振峰频率,从而再现所需的语音质量。该算法不仅通过共振峰频率和共振峰带宽来表征语音共振峰,而且还通过共振峰频率的频谱强度来表征语音共振峰。由参数指定的理想共振峰结构是通过迭代修改共振峰带宽来获得的。使用指定的共振峰结构,语音信号通过FFT(快速傅立叶变换)合成。通过声学距离测量和听力测试进行的评估证实了该方法的良好性能。通过听力测试进行评估,发现该提议的方法显着提高了语音的自然度,并明显提高了语音质量。

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