Automatic extraction of paralinguistic information using prosodic features related to F0, duration and voice quality

Author:

Ishi Carlos Toshinori,Ishiguro Hiroshi,Hagita Norihiro

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference31 articles.

1. What do people hear? A study of the perception of non-verbal affective information in conversational speech;Campbell;J. Phonet. Soc. Jpn.,2004

2. Campbell, N., Mokhtari, P., 2003. Voice quality, the 4th prosodic dimension. In: Proceedings of 15th International Congress of Phonetic Sciences (ICPhS2003), Barcelona, pp. 2417–2420.

3. Acoustic characteristics of the piriform fossa in models and humans;Dang;J. Acoust. Soc. Amer.,1966

4. Expressive speech: Production, perception and application to speech synthesis;Erickson;Acoust. Sci. Tech.,2005

5. Fernandez, R., Picard, R.W., 2005. Classical and novel discriminant features for affect recognition from speech. In: Proceedings of Interspeech 2005, Lisbon, Portugal, pp. 473–476.

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