9 datasets found

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.

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

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

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...

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

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

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

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...

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