Differentiable measures for speech spectral modeling
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DOI: 10.1109/access.2022.3150728
Abstract: Autoregressive models for the envelope of speech power spectral densities (PSDs) are refined by the self-supervised spectral learning machine (S3LM) provided with differentiable spectral objective functions, including the Itakura-Saito divergence (ISD), the Kullback-Leibler divergence (KLD),… read more here.
Keywords: analysis synthesis; loss; synthesis; analysis ... See more keywords