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GRID/CHiME-2 Track 1 - Video Features (25ms, 10ms)

<p>This archive contains the video features in Kaldi's [1] ark format that correspond to the CHiME-2 Track 1 [2] utterances for the isolated data (train, devel, test).</p> <p>The video files have been taken from the GRID corpus [3,4]. The features contain the 63-dimensional DCT coefficients of the landmark points extracted using the Viola-Jones algorithm. The features have been end-pointed and interpolated using a differential digital analyser in order to match the length of the utterances when using a frame length of 25ms and a frame shift of 10ms, which is the default configuration of Kaldi's feature extraction scripts.</p> <p>[1] http://kaldi-asr.org</p> <p>[2] http://spandh.dcs.shef.ac.uk/chime_challenge/chime2013/chime2_task1.html</p> <p>[3] http://spandh.dcs.shef.ac.uk/gridcorpus</p> <p>[4] Martin Cooke, Jon Barker, and Stuart Cunningham and Xu Shao, "An audio-visual corpus for speech perception and automatic speech recognition", The Journal of the Acoustical Society of America 120, 2421 (2006); http://doi.org/10.1121/1.2229005</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
12
Reuse readiness
8
Engagement
0

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