Structured Sparse Spectral Transforms and Structural Measures for Voice Conversion

IEEE/ACM Transactions on Audio, Speech, and Language Processing(2018)

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摘要
We investigate a structured sparse spectral transform method for voice conversion (VC) to perform frequency warping and spectral shaping simultaneously on high-dimensional (D) STRAIGHT spectra. Learning a large transform matrix for high-D data often results in an overfit matrix with low sparsity, which leads to muffled speech in VC. We address this problem by using the frequency-warping characteri...
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关键词
Transforms,Matrices,Sparse matrices,Speech processing,Distortion measurement,Distortion,Training
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