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Found 2 papers, 1 papers with code
Speech Enhancement-assisted Voice Conversion in Noisy Environments
Numerous voice conversion (VC) techniques have been proposed for the conversion of voices among different speakers.
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario
In this study, we propose an attention-based MTL (ATM) approach that integrates MTL and the attention-weighting mechanism to simultaneously realize a multi-model learning structure that performs speech enhancement (SE) and speaker identification (SI).
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