A canadian french emotional speech dataset
| Autor: | Olivier Lahaie, Roch Lefebvre, Philippe Gournay |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science Emotion classification Sample (statistics) 02 engineering and technology Creative commons computer.software_genre 01 natural sciences 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business 010301 acoustics computer License Natural language processing |
| Zdroj: | MMSys |
| DOI: | 10.1145/3204949.3208121 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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