Introducing AmuS: The Amused Speech Database
By Kevin El Haddad, Ilaria Torre, E. Gilmartin, Hüseyin Çakmak, Stéphane Dupont, Thierry Dutoit, Nick Campbell. 2017
25 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Rui Liu
- Kun Zhou
- Berrak Sisman
- Adaeze Adigwe
- Haizhou Li
- Noé Tits
- Thierry Dutoit
- Kevin El Haddad
Citations in the corpus
- The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems (2018, methodology): “The AmuS database contain audio data dedicated to amused speech synthesis[12].”
- Emotional Voice Conversion: Theory, Databases and ESD (2021, methodology): “Among them, 2 databases contain multilingual content of English and French, those are AmuS (El Haddad et al., 2017) and EmoV-DB (Adigwe et al., 2018).”