7 datasets found

MUSAN is a Music, Speech, and Noise Corpus.

The TIMIT corpus is a widely used benchmark for speech recognition tasks. It contains 3,696 training utterances from 462 speakers, excluding the SA sentences. The core test set...

The dataset used in this paper is a speech dataset, which is used for training and testing the proposed LaDiffCodec model.

The dataset used in this paper is a speech dataset, which is used for training and testing the proposed LaDiffCodec model.

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

The Librispeech dataset is a large-scale speaker-dependent speech corpus containing 1080 hours of speech, 5600 utterances, and 1000 speakers.

The dataset used in this paper is a large-scale production ASR system, which includes multi-domain (MD) data sets in English. The MD data sets include medium-form (MF) and...