7 datasets found

The ASVspoof 2021 dataset is a large-scale public dataset for speaker verification and spoofing countermeasures. The dataset contains various types of audio files, including...

The ASVspoof 2019 dataset is a large-scale public dataset for speaker verification and spoofing countermeasures. The dataset contains various types of audio files, including...

The WHAM! dataset is used for testing the proposed Bayesian factorised speaker-environment adaptive training and test time adaptation approach for Conformer models.

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.