By Björn W. Schuller, Anton M. Batliner(auth.)
This ebook provides the equipment, instruments and methods which are presently getting used to recognize (automatically) the impact, emotion, character and every little thing else past linguistics (‘paralinguistics’) expressed through or embedded in human speech and language.
It is the 1st e-book to supply one of these systematic survey of paralinguistics in speech and language processing. The expertise defined has advanced typically from computerized speech and speaker attractiveness and processing, but additionally takes under consideration fresh advancements inside speech sign processing, desktop intelligence and knowledge mining.
Moreover, the e-book bargains a hands-on strategy by way of integrating genuine info units, software program, and open-source utilities with the intention to make the booklet worthwhile as a instructing software and equally valuable for these execs already within the field.
- Provides an built-in presentation of simple study (in phonetics/linguistics and arts) with state of the art engineering techniques for speech sign processing and desktop 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 computer 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 trying out to approach integration.
- Details facets of real-world method integration together with distribution, weakly supervised studying and self assurance measures.
- Outlines computer studying techniques together with static, dynamic and context‑sensitive algorithms for class and regression.
- Includes an instructional on freely to be had toolkits, reminiscent of the open-source ‘openEAR’ toolkit for emotion and have an effect on acceptance co-developed through one of many authors, and a list of ordinary databases and have units utilized in the sector to permit for fast experimentation allowing the reader to construct an emotion detection version on an latest corpus.
Chapter 1 advent (pages 1–20):
Chapter 2 Taxonomies (pages 21–52):
Chapter three points of Modelling (pages 53–78):
Chapter four Formal elements (pages 79–106):
Chapter five useful features (pages 107–158):
Chapter 6 Corpus Engineering (pages 159–175):
Chapter 7 Computational Modelling of Paralinguistics: assessment (pages 177–184):
Chapter eight Acoustic positive factors (pages 185–216):
Chapter nine Linguistic gains (pages 217–229):
Chapter 10 Supra‐segmental positive factors (pages 230–234):
Chapter eleven Machine‐Based Modelling (pages 235–280):
Chapter 12 approach Integration and alertness (pages 281–288):
Chapter thirteen ‘Hands‐On’: latest Toolkits and sensible instructional (pages 289–303):
Chapter 14 Epilogue (pages 304–305):
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Extra resources for Computational Paralinguistics: Emotion, Affect and Personality in Speech and Language Processing
An Overview of Research Frameworks and a Dimensional Approach to Emotional Speech Synthesis, volume 7 of Reports in Phonetics, University of the Saarland. Institute for Phonetics, University of Saarbr¨ucken. , and Krstulovic, S. (2010). Synthesis of emotional speech. In K. R. Scherer, T. B¨anziger, and E. Roesch (eds), Blueprint for Affective Computing, pp. 222–231. Oxford University Press, Oxford. , and Zovato, E. (2011). Representing emotions and related states in technological systems. In P.
These traits and states can have different intensity, of course, apart from the ones that are binary or can be measured on an interval scale such as age or height. The following list is adapted from Schuller et al. (2013b); we substitute references to studies with references to the sections in this book that deal with the specific phenomena in Chapters 4 and 5. • Long-term traits: – biological trait primitives such as height, weight, age, and gender, cf. 5) such as personality in general (the ‘big five’), and single, more specific traits such as likeability; – a bundle of traits constitutes speaker idiosyncrasies, that is, speaker-ID; speaker traits can be used to mutually improve classification performance, by assigning speakers to distinct classes.
The complex task of coordinating multiple modalities in an affective agent – this holds for analysis as well – is nicely illustrated in the following list quoted from Martin et al. (2011): • Equivalence/substitution: one modality conveys a meaning not borne by the other modalities (while it could be conveyed by these other modalities) • Redundancy/repetition: the same meaning is conveyed at the same time via several modalities • Complementarity: – Amplification accentuation/moderation: one modality is used to amplify or attenuate the meaning provided by another modality – Additive: one modality adds congruent information to another modality – Illustration/clarification: one modality is used to illustrate/clarify the meaning conveyed by another modality • Conflict/contradiction: the meaning transmitted on one modality is incompatible or contrasting with the one conveyed by the other modalities; this cooperation occurs when the meaning of the individual modalities seems conflicting but indeed the meaning of their combination is not and emerges from the conflicting combination of the meanings of the individual modalities.
Computational Paralinguistics: Emotion, Affect and Personality in Speech and Language Processing by Björn W. Schuller, Anton M. Batliner(auth.)