Voice Conversion - Groups

ASSEM-VC: REALISTIC VOICE CONVERSION BY ASSEMBLING

Voice conversion (VC) is the process of converting the voice of the source speaker to the target speaker's voice without changing the linguistic information.

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Spoke

The Spoke dataset is a non-parallel voice conversion task.

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CycleGAN-VC2

Non-parallel voice conversion (VC) is a technique for learn- ing the mapping from source to target speech without relying on parallel data.

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Voice Conversion Challenge 2018 (VCC2018) corpus

The Voice Conversion Challenge 2018 (VCC2018) corpus, which included recordings of 12 professional US English speakers with a sampling rate of 22050 Hz and a sample resolution...

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VCTK Corpus

The VCTK corpus is an English multi-speaker dataset, with 44 hours of audio spoken by 109 native English speakers.

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FREEVC: TOWARDS HIGH-QUALITY TEXT-FREE ONE-SHOT VOICE CONVERSION

Voice conversion (VC) can be achieved by first extracting source content information and target speaker information, and then reconstructing waveform with these information.

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Many-to-many voice conversion using conditional cycle-consistent adversarial ...

Many-to-many voice conversion using conditional cycle-consistent adversarial networks

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VCTK

Voice conversion (VC) is a technique that alters the voice of a source speaker to a target style, such as speaker identity, prosody, and emotion, while keeping the linguistic...

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LibriTTS

A popular text-based VC approach is to use an automatic speech recognition (ASR) model to extract phonetic posteriorgram (PPG) as content representation.

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9 datasets found