An HMM approach for synthesizing amused speech with a controllable intensity of smile

By Kevin El Haddad, Hüseyin Çakmak, Alexis Moinet, Stéphane Dupont, Thierry Dutoit. 2015

18 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kevin El Haddad
2. Thierry Dutoit
3. Stéphane Dupont
4. Noé Tits
5. Daniel Gatica-Perez

In Signal Processing

1. Stéphane Dupont
2. Kevin El Haddad
3. Thierry Dutoit
4. Noé Tits
5. Daniel Gatica-Perez

Citations in the corpus

• The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems (2018, positive): “We showed in previous work [9,8,11] that this database was well suited for amused speech synthesis.”
• Introducing AmuS: The Amused Speech Database (2017, methodology): “The systems obtained from SpkA and SpkB-Fr were previously trained and evaluated in [11] and [12], respectively.”