Handling Background Noise in Neural Speech Generation

23 Feb 2021 • Tom Denton • Alejandro Luebs • Felicia S. C. Lim • Andrew Storus • Hengchin Yeh • W. Bastiaan Kleijn • Jan Skoglund

Recent advances in neural-network based generative modeling of speech has shown great potential for speech coding. However, the performance of such models drops when the input is not clean speech, e.g., in the presence of background noise, preventing its use in practical applications... (read more)

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