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• W2939354923 abstract "We present a fully convolutional wav-to-wav network for converting between speakers' voices, without relying on text. Our network is based on an encoder-decoder architecture, where the encoder is pre-trained for the task of Automatic Speech Recognition, and a multi-speaker waveform decoder is trained to reconstruct the original signal in an autoregressive manner. We train the network on narrated audiobooks, and demonstrate multi-voice TTS in those voices, by converting the voice of a TTS robot." @default.
• W2939354923 created "2019-04-25" @default.
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• W2939354923 date "2019-04-18" @default.
• W2939354923 modified "2023-10-01" @default.
• W2939354923 title "TTS Skins: Speaker Conversion via ASR" @default.
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• W2939354923 hasPublicationYear "2019" @default.
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