Computational paralinguistics: emotion, affect and by Björn Schuller, Anton Batliner

By Björn Schuller, Anton Batliner

This ebook provides the tools, instruments and strategies which are presently getting used to know (automatically) the have an effect on, emotion, character and every thing else past linguistics (‘paralinguistics’) expressed through or embedded in human speech and language.

It is the 1st e-book to supply any such systematic survey of paralinguistics in speech and language processing. The expertise defined has developed almost always from automated speech and speaker attractiveness and processing, but in addition takes under consideration contemporary advancements inside of speech sign processing, desktop intelligence and knowledge mining.

Moreover, the e-book deals a hands-on procedure via integrating genuine information units, software program, and open-source utilities on the way to make the publication important as a instructing software and equally worthwhile for these pros already within the field.

Key features:

  • Provides an built-in presentation of uncomplicated learn (in phonetics/linguistics and arts) with cutting-edge engineering techniques for speech sign processing and computer intelligence.
  • Explains the heritage and cutting-edge of all the sub-fields which give a contribution to the subject of computational paralinguistics.
  • C overs the sign processing and laptop studying points of the particular computational modelling of emotion and character and explains the detection strategy from corpus assortment to add extraction and from version checking out to procedure integration.
  • Details features of real-world process integration together with distribution, weakly supervised studying and self belief measures.
  • Outlines computing device studying methods together with static, dynamic and context‑sensitive algorithms for class and regression.
  • Includes an academic on freely on hand toolkits, akin to the open-source ‘openEAR’ toolkit for emotion and impact reputation co-developed via one of many authors, and a list of ordinary databases and have units utilized in the sector to permit for instant experimentation permitting the reader to construct an emotion detection version on an latest corpus.

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Additional resources for Computational paralinguistics: emotion, affect and personality in speech and language processing

Sample text

Is the communication ‘normal’, ‘as it should be’, ‘not as it should be’, or even ‘pathological’? We can assess conversations of married couples having problems (Lee et al. 2010), and we can monitor and summarise meetings (Kennedy and Ellis 2003; Laskowski 2009) or call centre interactions. 6) can be the object of analysis and monitoring, and of periodic screening. Human–machine interaction is a wide field, encompassing all kinds of gaming, tutoring, information, and assistive and communicative robotics.

Springer, Berlin. Harrigan, J. , and Scherer, K. R. (eds) (2008). New Handbook of Methods in Nonverbal Behavior Research. Oxford University Press, Oxford. Hill, A. (1958). Introduction to Linguistic Structures: From Sound to Sentence in English. Harcourt Brace, New York. Jones, S. E. and LeBaron, C. D. (2002). Research on the relationship between verbal and nonverbal communication: Emerging integrations. Journal of Communication, 52, 499–521. Jorgensen, P. (1998). Affect, persuasion, and communication processes.

Multimodal Interfaces. In A. Sears and J. J. A. (eds), The Human-Computer Interaction Handbook. Fundamentals, Evolving Technologies, and Emerging Applications, pp. 413–432. Lawrence Erlbaum, New York. Oviatt, S. and Cohen, P. (2000). Multimodal interfaces that process what comes naturally. Communications of the ACM, 43, 45–53. , and Kollias, S. (2011). Multimodal emotion recognition from low-level cues. In P. Petta, C. Pelachaud, and R. Cowie (eds), Emotion-Oriented Systems: The Humaine Handbook, Cognitive Technologies, pp.

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