56 datasets found

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

The CSTR VCTK Corpus is a dataset of speech recordings of 109 speakers, each with 20 utterances.

Global Style Tokens (GSTs) are a recently-proposed method to learn latent disentangled representations of high-dimensional data. GSTs can be used within Tacotron, a...

Global Style Tokens (GSTs) are a recently-proposed method to learn latent disentangled representations of high-dimensional data. GSTs can be used within Tacotron, a...

Global Style Tokens (GSTs) are a recently-proposed method to learn latent disentangled representations of high-dimensional data. GSTs can be used within Tacotron, a...

Global Style Tokens (GSTs) are a recently-proposed method to learn latent disentangled representations of high-dimensional data. GSTs can be used within Tacotron, a...

The VCTK dataset is a large corpus of speech recordings, each containing a single speaker and a single sentence.

The LJSpeech dataset is a collection of audio recordings of a single female speaker reading aloud.

FastDiff is a fast conditional diffusion model for high-quality speech synthesis. It employs a stack of time-aware location-variable convolutions with diverse receptive field...

The LJ speech dataset is a dataset of speech samples recorded from a single speaker reading passages from 7 non-fiction books.

The LJSpeech dataset contains 13,100 22kHz audio clips of a female speaker. The VCTK dataset consists of 108 native English speakers with various accents.

The proposed SC VALL-E model uses a Korean grapheme-to-phoneme converter to extract phonemes from Korean text and use them for training.

The Hi-Fi Multi-Speaker English TTS dataset is used to generate training, validation and test inputs for the audio splicing detection and localization task.

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...

The dataset used in the paper is the LibriSpeech dataset, which contains about 1,000 hours of English speech derived from audiobooks.

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