7 datasets found

EMALG: An Enhanced MAndarin Lombard Grid Corpus with Meaningful Sentences

The AISHELL-1 dataset is a Mandarin speech corpus, consisting of 178 hours of speech, with 11 domains and 400 speakers from different accent areas in China.

The ASRU 2019 Mandarin-English code-switching speech recognition challenge dataset.

The HKUST dataset is a large dataset of speech recordings, each containing a single speaker speaking a sentence.

The Chinese Standard Mandarin Speech Corpus (CSMSC) is a large-scale speech corpus containing 10,000 recorded sentences read by a female speaker.

The dataset is used to train the TTS model.

LRW-1000 is a challenging Mandarin lip-reading dataset due to its large variations in scale, resolution, background clutter, and speaker attributes.