Tone of Voice and Mind

The connections between intonation, emotion, cognition and consciousness

Author
Norman D. Cook | Kansai University
HardboundAvailable
ISBN 9789027251732 (Eur) | EUR 98.00
ISBN 9781588112750 (USA) | USD 147.00
 
PaperbackAvailable
ISBN 9789027251749 (Eur) | EUR 68.00
ISBN 9781588112767 (USA) | USD 102.00
 
e-Book
ISBN 9789027297839 | EUR 98.00/68.00*
| USD 147.00/102.00*
 
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Netlibrary e-BookNot for resale
ISBN 9780585461922
Tone of Voice and Mind is a synthesis of findings from neurophysiology (how neurons produce subjective feeling), neuropsychology (how the human cerebral hemispheres undertake complementary information-processing), intonation studies (how the emotions are encoded in the tone of voice), and music perception (how human beings hear and feel harmony). The focus is on the psychological characteristics that distinguish us from other primate species. At a neuronal level, we are just another mammalian species, but the functional specialization of the human cerebral hemispheres has resulted in three outstanding, uniquely-human talents: language, tool-usage and music. To understand how the human brain coordinates those behaviors is to understand who we are. (Series B)
[Advances in Consciousness Research, 47] 2002.  x, 293 pp.
Publishing status: Available
Table of Contents
“Without taking hemispheric asymmetry into account, there is simply no way forward in unraveling the functioning of the human brain. Cook takes the argument a stage further in showing that the mysterious “non-dominant” hemisphere contains a 2-D representation of the affective charge (as exemplified by the phenomena of intonation and the appreciation of music) of the linguistic message that balances the syntactic structures in the dominant hemisphere. These developments in the theory of bi-hemispheric specialisation will be followed closely by all those with an interest in the evolution of the hominid brain.”
“Norman Cook has done it again! Some fifteen years after his puzzling and controversial book on “the brain code”, he presents his matured views on basic brain functioning in a brilliant writing on consciousness and how the brain might code emotions in musical terms. A book full of insights in a search for the underlying rules that guide the brain’s behavior.”
“This fascinating book is remarkable both in the breadth of the scientific knowledge it brings to bear on understanding the mind, and in the presentation of a “central dogma” for neuropsychology. Informative and provocative, it leaves one with a new sense of what it is to be human.”
Cited by

Cited by 30 other publications

Barros, Pablo, Cornelius Weber & Stefan Wermter
2015. 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids),  pp. 582 ff. DOI logo
Benítez-Burraco, Antonio & Aleksey Nikolsky
2023. The (Co)Evolution of Language and Music Under Human Self-Domestication. Human Nature 34:2  pp. 229 ff. DOI logo
Bonetti, Leonardo & Marco Costa
2016. Intelligence and Musical Mode Preference. Empirical Studies of the Arts 34:2  pp. 160 ff. DOI logo
Brinkmann, Frank Thomas
2013. I will always have my feelings. Zur Inszenierung von Gefühlen in (musikalischen) Popkulturen. In Religion und Gefühl,  pp. 157 ff. DOI logo
Chanda, Sushovan, Kedar Fitwe, Gauri Deshpande, Björn W. Schuller & Sachin Patel
2021. A Deep Audiovisual Approach for Human Confidence Classification. Frontiers in Computer Science 3 DOI logo
Chung, Sungwon, Jongpil Cheon & Kwang-Woo Lee
2015. Emotion and multimedia learning: an investigation of the effects of valence and arousal on different modalities in an instructional animation. Instructional Science 43:5  pp. 545 ff. DOI logo
Cook, N.D., T.X. Fujisawa & K. Takami
2006. Evaluation of the affective valence of speech using pitch substructure. IEEE Transactions on Audio, Speech and Language Processing 14:1  pp. 142 ff. DOI logo
COOK, NORMAN D.
2001. Explaining Harmony. Annals of the New York Academy of Sciences 930:1  pp. 382 ff. DOI logo
Cook, Norman D.
2018. The Triadic Roots of Human Cognition: “Mind” Is the Ability to go Beyond Dyadic Associations. Frontiers in Psychology 9 DOI logo
Featherstone, Coral & Etienne Van der Poel
2015. Proceedings of the 2015 Annual Research Conference on South African Institute of Computer Scientists and Information Technologists,  pp. 1 ff. DOI logo
FUJISAWA, Takashi, Kazuaki TAKAMI & Norman D. COOK
2004. On the “musicality” of emotional speech: Calculating harmony using fundamental frequencies. The Japanese Journal of Cognitive Psychology 1:1  pp. 25 ff. DOI logo
Fujisawa, Takashi X. & Norman D. Cook
2011. The perception of harmonic triads: an fMRI study. Brain Imaging and Behavior 5:2  pp. 109 ff. DOI logo
Gilbers, Steven, Christina Fuller, Dicky Gilbers, Mirjam Broersma, Martijn Goudbeek, Rolien Free & Deniz Başkent
2015. Normal-Hearing Listeners’ and Cochlear Implant Users’ Perception of Pitch Cues in Emotional Speech. i-Perception 6:5  pp. 030100661559913 ff. DOI logo
Gilbers, Steven, Nienke Hoeksema, Kees de Bot & Wander Lowie
2020. Regional Variation in West and East Coast African-American English Prosody and Rap Flows. Language and Speech 63:4  pp. 713 ff. DOI logo
Hernández Blasi, Carlos, David F. Bjorklund, Sonia Agut, Francisco Lozano Nomdedeu & Miguel Ángel Martínez
2022. Voices as Cues to Children’s Needs for Caregiving. Human Nature 33:1  pp. 22 ff. DOI logo
Kjus, Yngvar
2018. Music, Media, and Mentalization. In Live and Recorded,  pp. 25 ff. DOI logo
Kjus, Yngvar
2018. Creating Studios on Stage. In Live and Recorded,  pp. 51 ff. DOI logo
Kyoung Soo Chun, Eun-Sook Jee & Dong-Soo Kwon
2012. 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI),  pp. 88 ff. DOI logo
Lu, Cheng, Yuan Zong, Wenming Zheng, Yang Li, Chuangao Tang & Bjorn W. Schuller
2022. Domain Invariant Feature Learning for Speaker-Independent Speech Emotion Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 30  pp. 2217 ff. DOI logo
MacLennan, Bruce
2018. Could Robots Feel Pain?. In Androids, Cyborgs, and Robots in Contemporary Culture and Society [Advances in Computational Intelligence and Robotics, ],  pp. 151 ff. DOI logo
MacLennan, Bruce J.
2014. Ethical Treatment of Robots and the Hard Problem of Robot Emotions. International Journal of Synthetic Emotions 5:1  pp. 9 ff. DOI logo
MacLennan, Bruce J.
2016. Ethical Treatment of Robots and the Hard Problem of Robot Emotions. In Psychology and Mental Health,  pp. 1324 ff. DOI logo
Mancia, Mauro
2007. Mémoire implicite et inconscient précoce non refoulé : leur rôle dans le transfert et le rêve. Revue française de psychanalyse Vol. 71:2  pp. 369 ff. DOI logo
Mancia, Mauro
2008. The early unrepressed unconscious in relation to Matte-Blanco's thought. International Forum of Psychoanalysis 17:4  pp. 201 ff. DOI logo
MARCHENKO, Valentyna
2020. Speech intonation and music: A look at their dynamics within the song format. Dil ve Dilbilimi Çalışmaları Dergisi 16:2  pp. 822 ff. DOI logo
Martin, Philippe
2013. Émotions et structure prosodique : qui domine qui ?. In Cartographie des émotions,  pp. 167 ff. DOI logo
Martin, Philippe
2014. Emotions and prosodic structure: Who is in charge?. In Linguistic Approaches to Emotions in Context [Pragmatics & Beyond New Series, 241],  pp. 215 ff. DOI logo
Nikolsky, Aleksey
2015. Evolution of tonal organization in music mirrors symbolic representation of perceptual reality. Part-1: Prehistoric. Frontiers in Psychology 6 DOI logo
Nikolsky, Aleksey
2020. The Pastoral Origin of Semiotically Functional Tonal Organization of Music. Frontiers in Psychology 11 DOI logo
Красовська, Інна
2021. КОГНІТИВНІ ЗАСАДИ ДОСЛІДЖЕННЯ ЕМОЦІЙНОСТІ У МОВЛЕННІ. Молодий вчений :3 (91)  pp. 58 ff. DOI logo

This list is based on CrossRef data as of 12 april 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects

Consciousness Research

Consciousness research

Main BIC Subject

CF: Linguistics

Main BISAC Subject

LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2002074689 | Marc record