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E-book: Emotion, Affect and Personality in Speech: The Bias of Language and Paralanguage

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This book explores the various categories of speech variation and works to draw a line between linguistic and paralinguistic phenomenon of speech. Paralinguistic contrast is crucial to human speech but has proven to be one of the most difficult tasks in speech systems. In the quest for solutions to speech technology and sciences, this book narrows down the gap between speech technologists and phoneticians and emphasizes the imperative efforts required to accomplish the goal of paralinguistic control in speech technology applications and the acute need for a multidisciplinary categorization system. This interdisciplinary work on paralanguage will not only serve as a source of information but also a theoretical model for linguists, sociologists, psychologists, phoneticians and speech researchers.

Introduction.- Psychology of Voice.- Language, Communication and Human Behaviour.- Multimodality and Spoken Dialogue Systems.- Emotional Speech Recognition.- Where Speech Recognition is Going: Conclusion and Future Scope.
1 Introduction
1(8)
1.1 Paralanguage
3(6)
References
6(3)
2 Psychology of Voice
9(8)
2.1 Pitch as a Major Auditory Attribute
10(1)
2.2 Speech Markers
11(6)
2.2.1 Emotional Markers in Speech
11(1)
2.2.2 Personality Markers in Speech
12(2)
References
14(3)
3 Language, Communication and Human Behaviour
17(8)
3.1 Language and Interpersonal Communication
18(1)
3.2 Language and Coverbal Behaviours
19(1)
3.3 Understanding Nonverbal Behaviour
20(5)
References
22(3)
4 Multimodality and Spoken Dialogue Systems
25(10)
4.1 Potential Benefits of Multimodal Interfaces
26(1)
4.2 Multimodality in Spoken Dialogue Systems
27(3)
4.3 Future Directions
30(5)
References
31(4)
5 Emotional Speech Recognition
35(8)
5.1 Significant Developments in Speech Recognition
36(2)
5.2 Future Directions in Speech Recognition and Understanding
38(5)
References
40(3)
6 Where Speech Recognition Is Going: Conclusion and Future Scope
43(8)
6.1 Obstacles in the Implementation and Acceptance of ASR
44(1)
6.2 Role of Paralanguage in ASR
45(1)
6.3 Technical Advances in Speech Recognition
46(5)
References
48(3)
Index 51
Swati Johar is Scientist C at the Defence Institute of Psychological Research (DIPR), Delhi. She is involved in many major research projects from an interdisciplinary perspective, including research on image and signal processing.  She has completed her M.Tech from BITS, Pilani and her research work on gestures and speech recognition has been published in reputed International Journals and proposed to be integrated with the New Selection System being developed for the Indian Armed Forces. Emotion recognition and non-verbal behaviour are some of her areas of interest and she has published scientific articles in peer-reviewed journals. She authored a few book chapters dealing with human computer interaction and technological emergence, and has been an active member of Institute of Electrical and Electronics Engineers (IEEE) society for more than 3 years.