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Towards High-fidelity Singing Voice Conversion with Acoustic Reference and Contrastive Predictive Coding ...
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PPG-based singing voice conversion with adversarial representation learning ...
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Abstract:
Singing voice conversion (SVC) aims to convert the voice of one singer to that of other singers while keeping the singing content and melody. On top of recent voice conversion works, we propose a novel model to steadily convert songs while keeping their naturalness and intonation. We build an end-to-end architecture, taking phonetic posteriorgrams (PPGs) as inputs and generating mel spectrograms. Specifically, we implement two separate encoders: one encodes PPGs as content, and the other compresses mel spectrograms to supply acoustic and musical information. To improve the performance on timbre and melody, an adversarial singer confusion module and a mel-regressive representation learning module are designed for the model. Objective and subjective experiments are conducted on our private Chinese singing corpus. Comparing with the baselines, our methods can significantly improve the conversion performance in terms of naturalness, melody, and voice similarity. Moreover, our PPG-based method is proved to be ...
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Keyword:
Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Sound cs.SD
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URL: https://arxiv.org/abs/2010.14804 https://dx.doi.org/10.48550/arxiv.2010.14804
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A Framework for Current-State Opacity under Dynamic Information Release Mechanism ...
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A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis ...
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An Interval Neutrosophic Linguistic Multi-Criteria Group Decision-Making Method And Its Application In Selecting Medical Treatment Options ...
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