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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Novel Source Analysis Method by Matching Spectral Characters of LF Model with STRAIGHT Spectrum
verfasst von : Zhen-Hua Ling, Yu Hu, Ren-Hua Wang
Erschienen in: Affective Computing and Intelligent Interaction
Verlag: Springer Berlin Heidelberg
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This paper presents a voice source analysis method by studying the spectral characters of LF model and their representation in output speech signal. The estimation of source features is defined as the set of LF parameter whose spectrum has the most similar characters in frequency domain, including glottal formant and spectral tilt, with the corresponding characters held by the STRAIGHT spectrum of speech signal for analysis. Besides, the concept of analyzable frame is introduced to ensure the feasibility and improve the reliability of proposed method. Evaluation with synthetic speech proves this method is able to estimate the LF parameters with satisfactory precision. Furthermore, the experiment with emotional speech shows the effectiveness of proposed method in describing voice quality variety among speech with different emotions.