Approach for time-scale modification of speech based on TCNMF

Electronics Letters(2013)

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摘要
A novel approach for time-scale modification (TSM) of speech based on temporal continuous nonnegative matrix factorisation (TCNMF) is presented. First, the magnitude spectrum of the speech is factorised to the nonnegative space and the time-varying gains, and then the TSM problem is transformed into an interpolation problem of the time-varying gains, which leads to a better performance over the traditional methods based on waveform overlap-add. The superiority of the proposed approach is confirmed by the comparative tests against the traditional methods, including OLA, SOLA, WSOLA, and PSOLA.
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关键词
waveform overlap-add,speech processing,tcnmf,sola method,interpolation,ola method,nonnegative space,speech magnitude spectrum,speech time-scale modification,time-varying gains,psola method,matrix decomposition,wsola method,temporal continuous nonnegative matrix factorisation,speech tsm,interpolation problem
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