Name
Abstract | ||
|---|---|---|
Until recently, there was no emotional speech dataset available in Canadian French. This was a limiting factor for research activities not only in Canada, but also elsewhere. This paper introduces the newly released Canadian French Emotional (CaFE) speech dataset and gives details about its design and content. This dataset contains six different sentences, pronounced by six male and six female actors, in six basic emotions plus one neutral emotion. The six basic emotions are acted in two different intensities. The audio is digitally recorded at high-resolution (192 kHz sampling rate, 24 bits per sample). This new dataset is freely available under a Creative Commons license (CC BY-NC-SA 4.0).
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3204949.3208121 | MMSys '18: 9th ACM Multimedia Systems Conference
Amsterdam
Netherlands
June, 2018 |
Keywords | Field | DocType |
Emotional speech, Canadian French, speech dataset, digital recording | Computer science,Digital recording,Computer network,Emotion classification,Artificial intelligence,Natural language processing,Creative commons,License | Conference |
ISBN | Citations | PageRank |
978-1-4503-5192-8 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philippe Gournay | 1 | 18 | 5.99 |
| Olivier Lahaie | 2 | 0 | 0.68 |
| Lefebvre, R. | 3 | 93 | 18.55 |