Computational Paralinguistics: Emotion, Affect and by Bjorn Schuller, Anton Batliner

By Bjorn Schuller, Anton Batliner

This publication offers the equipment, instruments and methods which are at present getting used to realize (automatically) the have an effect on, emotion, character and every thing else past linguistics (‘paralinguistics’) expressed by way of or embedded in human speech and language.

It is the 1st ebook to supply this sort of systematic survey of paralinguistics in speech and language processing. The expertise defined has advanced quite often from computerized speech and speaker acceptance and processing, but in addition takes under consideration contemporary advancements inside of speech sign processing, computing device intelligence and information mining.

Moreover, the ebook bargains a hands-on method by means of integrating genuine facts units, software program, and open-source utilities that allows you to make the booklet valuable as a instructing device and equally necessary for these pros already within the field.

Key features:

Provides an built-in presentation of uncomplicated examine (in phonetics/linguistics and arts) with cutting-edge engineering ways for speech sign processing and laptop intelligence.
Explains the background and state-of-the-art of the entire sub-fields which give a contribution to the subject of computational paralinguistics.
C overs the sign processing and computing device studying elements of the particular computational modelling of emotion and character and explains the detection approach from corpus assortment to add extraction and from version checking out to procedure integration.
Details elements of real-world procedure integration together with distribution, weakly supervised studying and self belief measures.
Outlines laptop studying methods together with static, dynamic and context‑sensitive algorithms for category and regression.
Includes an academic on freely on hand toolkits, akin to the open-source ‘openEAR’ toolkit for emotion and impact attractiveness co-developed through one of many authors, and a list of ordinary databases and have units utilized in the sphere to permit for fast experimentation permitting the reader to construct an emotion detection version on an present corpus.

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Extra info for Computational Paralinguistics: Emotion, Affect and Personality in Speech and Language Processing

Sample text

Although a state can be self-induced – you can put yourself into some mood – normally it is caused by someone or something else. It takes a much shorter period of time to be put into some state than to be put into some trait and to ‘get out of it’ again. 1. Between long-term traits and short-term states is something we want to call medium-term between traits and states. 1) towards other persons, or social roles such as leadership taken over in specific conversational situations (dyadic or meetings).

And Ellis, D. (2003). Pitch-based emphasis detection for characterization of meeting recordings. In Proc. of ASRU, pp. 243–248, Virgin Islands. Kleinsmith, A. and Bianchi-Berthouze, N. (2012). Affective body expression perception and recognition: A survey. IEEE Transactions on Affective Computing, 99. Krauss, R. , and Winton, W. (1981). Verbal, vocal, and visible factors in judgments of another’s affect. Journal of Personality and Social Psychology, 40, 312–320. Kreiman, J. and Sidtis, D. (2011).

222–231. Oxford University Press, Oxford. , and Zovato, E. (2011). Representing emotions and related states in technological systems. In P. Petta, C. Pelachaud, and R. Cowie (eds), Emotion-Oriented Systems: The Humaine Handbook, Cognitive Technologies, pp. 369–388. Springer, Berlin. , Maat, M. , Sevin, E. , and W¨ollmer, M. (2012). Building autonomous sensitive artificial listeners. IEEE Transactions on Affective Computing, 3(2), 165–183. , and Narayanan, S. (2013). Paralinguistics in speech and language – state-of-the-art and the challenge.

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