Speech-laughs: An HMM-based approach for amused speech synthesis
By Kevin El Haddad, Stéphane Dupont, J. Urbain, Thierry Dutoit. 2015
28 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.
- Adaeze Adigwe
- Kevin El Haddad
- Noé Tits
- Thierry Dutoit
- Hüseyin Çakmak
- S. Ostadabbas
- Stéphane Dupont
- Ilaria Torre
Citations in the corpus
- The Emotional Voices Database: Towards Controlling the Emotion Dimension in Voice Generation Systems (2018, background): “Also in another study, we show that including laughter in synthesized is always perceived as amused no matter the style of speech it is inserted in (neutral or smiled) [11].”
- Introducing AmuS: The Amused Speech Database (2017, background): “These types of laughs proved to be efficient to produce synthesized amused speech [13].”
- Breath and repeat: An attempt at enhancing speech-laugh synthesis quality (2015, background): “In section II, we first give a brief description of our proposed baseline system [7].”
- An HMM-based speech-smile synthesis system: An approach for amusement synthesis (2015, methodology): “Our work, here, reimplements a part of the system developped in [7], in which “speech-laughs” were synthesized using speech-smiles and “laughing vowels”.”