9 datasets found

The VGGSound dataset is a large-scale audio-visual dataset containing 10,000 10-second video clips with corresponding audio files.

The LRS2 dataset consists of 48,164 video clips from outdoor shows on BBC television. Each video is accompanied by an audio corresponding to a sentence with up to 100 characters.

The proposed Deep Visual Forced Alignment (DVFA) for time-aligning the input transcription with the input talking face video without using speech audio.

The LRS3 dataset is a large-scale dataset for visual speech recognition. It consists of thousands of spoken sentences from TED videos.

The AMI Meeting Corpus is a multimodal corpus containing audio and video recordings of meetings.

The EasyCom dataset is a relatively new dataset, recorded using Meta’s Augmented-Reality (AR) glasses set.

The LRS2 dataset consists of news recordings from the BBC, with different lighting, backgrounds, face poses, and people with different origins.

The GRID dataset was introduced by [5] as a corpus for tasks such as speech perception and speech recognition. GRID contains 33 unique speakers, articulating 1000 word sequences...

Lip reading in the wild: A large-scale audio-visual dataset for lip reading and audio-visual speech recognition.