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• W3026249169 abstract "Voice conversion (VC) techniques aim to modify speaker identity of an utterance while preserving the underlying linguistic information. Most VC approaches ignore modeling of the speaking style (e.g. emotion and emphasis), which may contain the factors intentionally added by the speaker and should be retained during conversion. This study proposes a sequence-to-sequence based non-parallel VC approach, which has the capability of transferring the speaking style from the source speech to the converted speech by explicitly modeling. Objective evaluation and subjective listening tests show superiority of the proposed VC approach in terms of speech naturalness and speaker similarity of the converted speech. Experiments are also conducted to show the source-style transferability of the proposed approach." @default.
• W3026249169 created "2020-05-29" @default.
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• W3026249169 date "2020-05-18" @default.
• W3026249169 modified "2023-10-14" @default.
• W3026249169 title "Transferring Source Style in Non-Parallel Voice Conversion" @default.
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• W3026249169 doi "https://doi.org/10.48550/arxiv.2005.09178" @default.
• W3026249169 hasPublicationYear "2020" @default.
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