10.5281/zenodo.5554849
https://zenodo.org/records/5554849
oai:zenodo.org:5554849
Liu, Li
Li
Liu
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab
Hueber, Thomas
Thomas
Hueber
0000-0002-8296-5177
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab
Feng, Gang
Gang
Feng
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab
Beautemps, Denis
Denis
Beautemps
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab
Sankar, Sanjana
Sanjana
Sankar
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab
CSF18
Zenodo
2018
cued-speech, langue parlée complétée, LPC, recognition, multimodal, audiovisual, hand, sign language
2018-03-23
fra
10.5281/zenodo.1206000
https://zenodo.org/communities/eu
1.1
Creative Commons Attribution 4.0 International
CSF18 - Multimodal database of French Cued-speech (revised in 2022)
Dataset used in "Visual recognition of continuous Cued Speech using a tandem CNN-HMM approach", by Liu, Hueber, Feng, Beautemps (submitted to Interspeech 2018)
476 sentences (i.e. 2 repetitions of 238 sentences) uttered by a professional French Cued-speech coder
video/ PNG images, 576x720, 50fps (after deinterleave)
audio/ WAV, 16kHz, 16bits
prompt.txt: Text prompt of the recorded sentences
corpus_mlf.txt: Phonetic transcription aligned on the audio signal (HTK format, Master Label File) obtained using the LiaPhon phonetizer and a forced-alignment HMM-based procedure (no manual check)
corpus_mlf_updated_icassp2022.txt: Manually checked/cleaned version of corpus_mlf.txt (see Sankar et al., ICASSP 2022 paper)
phonelist.txt: list of the 34 labels used to encode French phonemes at GIPSA-lab.
European Commission
10.13039/501100000780
860755
Communication for Children with Hearing Impairment to optimise Language Development