Dataset Open Access
CSF18
Liu, Li;
Hueber, Thomas;
Feng, Gang;
Beautemps, Denis;
Sankar, Sanjana
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.
Files
(41.6 GB)
| Name | Size | |
|---|---|---|
|
audio.zip
md5:41c138061132b01cc9fb445d4ec36a90 |
49.5 MB | Download |
|
corpus_mlf.txt
md5:8cd65f2baf85ffc9fcfa2b0ed340c18b |
258.6 kB | Download |
|
corpus_mlf_updated_icassp2022.txt
md5:df4f1819fa200422b0e32bd574f35539 |
252.8 kB | Download |
|
phonelist.txt
md5:e165f7a5a5d080c670fc1d3b7b74be60 |
78 Bytes | Download |
|
prompt.txt
md5:579b033bc87ce1b72fd9ee0aaf3f0cd6 |
10.4 kB | Download |
|
README.rtf
md5:84dcd604ecce862486bd8f1e86098ff4 |
1.4 kB | Download |
|
video.zip
md5:ebc356bd861159552458bc761da14cc5 |
41.5 GB | Download |
423
648
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 423 | 45 |
| Downloads | 648 | 47 |
| Data volume | 6.6 TB | 1.5 TB |
| Unique views | 389 | 37 |
| Unique downloads | 448 | 19 |
Indexed in
- Publication date:
- March 23, 2018
- DOI:
-
- Keyword(s):
- cued-speech, langue parlée complétée, LPC, recognition, multimodal, audiovisual, hand, sign language
- Grants:
-
European Commission:
- Comm4CHILD - Communication for Children with Hearing Impairment to optimise Language Development (860755)
- License (for files):
- Creative Commons Attribution 4.0 International