Tone of Voice and Mind
The connections between intonation, emotion, cognition and consciousness
Netlibrary e-Book – Not 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
© John Benjamins Publishing Company
Table of Contents
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Preface | pp. vii–x
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Part I. Neuropsychology
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1. Cerebral specialization | pp. 5–23
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2. The central dogma of human neuropsychology | pp. 25–45
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3. Musical interlude | pp. 47–91
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4. The coding of human emotions | pp. 93–121
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5. The brain code | pp. 123–149
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Part II. Consciousness and cognition
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6. Synapses and action potentials | pp. 155–178
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7. Synchronization | pp. 179–204
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8. A bilateral neural network simulation | pp. 205–240
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9. Conclusions | pp. 241–244
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Appendix 1: Musical emotions | pp. 245–263
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Appendix 2: Calculating harmoniousness | pp. 265–269
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Index | pp. 287–291
“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.”
Timothy J. Crow MD, Professor of Psychiatry, University of Oxford
“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 brains behavior.”
Theodor Landis MD, Chairman of Neurology, University of Geneva
“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.”
James A. Reggia MD, Professor of Computer Science and Neurology, University of Maryland
Cited by (31)
Cited by 31 other publications
Benítez-Burraco, Antonio & Aleksey Nikolsky
2023. The (Co)Evolution of Language and Music Under Human Self-Domestication. Human Nature 34:2 ► pp. 229 ff. 
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.
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.
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
Quan, Jingyu, Yoshihiro Miyake & Takayuki Nozawa
2021. Incorporating Interpersonal Synchronization Features for Automatic Emotion Recognition from Visual and Audio Data during Communication. Sensors 21:16 ► pp. 5317 ff.
Красовська, Інна
2021. КОГНІТИВНІ ЗАСАДИ ДОСЛІДЖЕННЯ ЕМОЦІЙНОСТІ У МОВЛЕННІ. Молодий вчений :3 (91) ► pp. 58 ff.
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.
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.
Kjus, Yngvar
2018. Music, Media, and Mentalization. In Live and Recorded, ► pp. 25 ff.
Kjus, Yngvar
2018. Creating Studios on Stage. In Live and Recorded, ► pp. 51 ff.
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.
Bonetti, Leonardo & Marco Costa
2016. Intelligence and Musical Mode Preference. Empirical Studies of the Arts 34:2 ► pp. 160 ff.
Barros, Pablo, Cornelius Weber & Stefan Wermter
2015. 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), ► pp. 582 ff.
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.
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.
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
Nikolsky, Aleksey
2015. Evolution of tonal organization in music mirrors symbolic representation of perceptual reality. Part-1: Prehistoric. Frontiers in Psychology 6
Nikolsky, Aleksey
2020. The Pastoral Origin of Semiotically Functional Tonal Organization of Music. Frontiers in Psychology 11
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.
MacLennan, Bruce J.
2016. Ethical Treatment of Robots and the Hard Problem of Robot Emotions. In Psychology and Mental Health, ► pp. 1324 ff.
Brinkmann, Frank Thomas
2013. I will always have my feelings. Zur Inszenierung von Gefühlen in (musikalischen) Popkulturen. In Religion und Gefühl, ► pp. 157 ff.
Martin, Philippe
2013. Émotions et structure prosodique : qui domine qui ?. In Cartographie des émotions, ► pp. 167 ff.
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.
Kyoung Soo Chun, Eun-Sook Jee & Dong-Soo Kwon
2012. 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), ► pp. 88 ff.
Fujisawa, Takashi X. & Norman D. Cook
2011. The perception of harmonic triads: an fMRI study. Brain Imaging and Behavior 5:2 ► pp. 109 ff.
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.
Mancia, Mauro
2008. The early unrepressed unconscious in relation to Matte-Blanco's thought. International Forum of Psychoanalysis 17:4 ► pp. 201 ff.
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.
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.
COOK, NORMAN D.
2001. Explaining Harmony. Annals of the New York Academy of Sciences 930:1 ► pp. 382 ff.
Cook, Norman D.
2018. The Triadic Roots of Human Cognition: “Mind” Is the Ability to go Beyond Dyadic Associations. Frontiers in Psychology 9
This list is based on CrossRef data as of 25 september 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
Psychology
Main BIC Subject
CF: Linguistics
Main BISAC Subject
LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General