By decomposing spectrogram reconstruction into a fixed pseudo-inverse range-space step and a learned null-space detail step, RNDVoC reaches near-BigVGAN quality with about 3% of the parameters and a 10x CPU speed-up.
STRAIGHT, exploita- tion of the other aspect of VOCODER: Perceptually iso- morphic decomposition of speech sounds.Acoustical sci- ence and technology, 27(6):349–353,
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Learning Neural Vocoder from Range-Null Space Decomposition
By decomposing spectrogram reconstruction into a fixed pseudo-inverse range-space step and a learned null-space detail step, RNDVoC reaches near-BigVGAN quality with about 3% of the parameters and a 10x CPU speed-up.