Computational And Behavioural Approaches To Understanding Perception Of Speech Variability
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Computational And Behavioural Approaches To Understanding Perception Of Speech Variability
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Author : Binger Jiang
language : en
Publisher:
Release Date : 2021
Computational And Behavioural Approaches To Understanding Perception Of Speech Variability written by Binger Jiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
"This dissertation focuses on the broad question of how humans make sense of speech and interpret it as meaningful units, despite extensive variation - one instance of humans' remarkable ability to perceive cognitive units (speech sounds) from noisy continuous data. This dissertation addresses this question by examining different levels of human speech processing, from low-level phonetics to higher-level abstract patterning: listeners' variable use of acoustic cues in different linguistic contexts (Project 1), the perceptual representation integrating all acoustic dimensions for a phonological contrast (Project 2), and the linguistic knowledge used for processing phonological changes (Project 3).The first project investigates how multiple acoustic cues contribute to multidimensional phonological contrasts and how dialectal experience shapes listeners' perceptual strategies. The central question is: how do listeners differ in their use of acoustic cues? This project focuses on three cues in the tonal register contrast in two Chinese Wu dialects: pitch height, voice quality, and pitch contour. The findings reveal that listeners differ mainly in their overall cue acuity. Moreover, for certain contrasts signaled without a dominant cue, individuals further differ in their choice of the primary cue. Finally, listeners' use of cues is affected by their dialect background. For a cue less important in their native dialect, listeners do not make better use of it even when the cue becomes more salient in the same contrast.The second project investigates a similar question to the first project, using computational modelling. The goals are to study the low-dimensional representation of tones in Mandarin Chinese continuous speech, and how different acoustic correlates map onto this representation. Adopting a data-driven method using raw speech, this project explores the representation of tones by examining a low-dimensional layer learnt in a deep neural network tone classification model. The model can be seen as an `ideal listener' doing the same task as human listeners. Unlike the human brain which can only be indirectly probed through responses, the computational model provides a learnt representation one can directly examine. The analysis of the representation reveals that while the input is high-dimensional (feature vectors encoding raw speech), two dimensions are enough to represent the tonal contrast. The two dimensions largely encode average pitch height and pitch contour, which converges with previous findings from the perception literature.The third project investigates the role of phonological knowledge in speech perception. For predictable changes caused by phonological assimilation (English place assimilation and French voicing assimilation), native listeners are able to recover the original sounds, without taking them as mispronunciations. This project investigates what knowledge is minimally required for the language-specific perceptual effect. Standard automatic speech recognition systems trained on English and French are used to represent `ideal listeners'. Each language has 13 models with different complexities to represent listeners with different scopes of linguistic knowledge. The models then perform the same task as humans did in a previous study (Darcy et al., 2009). From comparing the model and human results, the successful human-like models employ contextually sensitive acoustic knowledge and phonotactics, but do not require higher-level knowledge of a lexicon or word boundaries.To summarize, this dissertation investigates different aspects of perception, building on evidence from diverse languages. The combination of perceptual experiments and computational modelling mutually benefit each other: the perceptual experiments examine how listeners vary and provide empirical data from human listeners, while computational modelling of `ideal listeners' offers potential explanations for human speech perception"--
Speaker Perception And Recognition An Integrative Framework For Computational Speech Processing
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Author : Oxana Lapteva
language : en
Publisher: kassel university press GmbH
Release Date : 2011
Speaker Perception And Recognition An Integrative Framework For Computational Speech Processing written by Oxana Lapteva and has been published by kassel university press GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Automatic speech recognition categories.
The Speech Processing Lexicon
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Author : Aditi Lahiri
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-04-10
The Speech Processing Lexicon written by Aditi Lahiri and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-10 with Language Arts & Disciplines categories.
In this book, some of today’s leading neurolinguists and psycholinguists provide insight into the nature of phonological processing using behavioural measures, computational modeling, EEG and fMRI. The essays cover a range of topics including categorization, acoustic variability and invariance, underspecification, talker-specificity and machine learning, focusing on the acoustics, perception, acquisition and neural representation of speech.
The Oxford Handbook Of Affective Computing
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Author : Rafael A. Calvo
language : en
Publisher: Oxford Library of Psychology
Release Date : 2015
The Oxford Handbook Of Affective Computing written by Rafael A. Calvo and has been published by Oxford Library of Psychology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Computers categories.
"The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."--
The Cognitive Neurosciences Sixth Edition
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Author : David Poeppel
language : en
Publisher: MIT Press
Release Date : 2020-04-21
The Cognitive Neurosciences Sixth Edition written by David Poeppel and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-21 with Science categories.
The sixth edition of the foundational reference on cognitive neuroscience, with entirely new material that covers the latest research, experimental approaches, and measurement methodologies. Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The sixth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biological underpinnings of complex cognition—the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. It offers entirely new material, reflecting recent advances in the field, covering the latest research, experimental approaches, and measurement methodologies. This sixth edition treats such foundational topics as memory, attention, and language, as well as other areas, including computational models of cognition, reward and decision making, social neuroscience, scientific ethics, and methods advances. Over the last twenty-five years, the cognitive neurosciences have seen the development of sophisticated tools and methods, including computational approaches that generate enormous data sets. This volume deploys these exciting new instruments but also emphasizes the value of theory, behavior, observation, and other time-tested scientific habits. Section editors Sarah-Jayne Blakemore and Ulman Lindenberger, Kalanit Grill-Spector and Maria Chait, Tomás Ryan and Charan Ranganath, Sabine Kastner and Steven Luck, Stanislas Dehaene and Josh McDermott, Rich Ivry and John Krakauer, Daphna Shohamy and Wolfram Schultz, Danielle Bassett and Nikolaus Kriegeskorte, Marina Bedny and Alfonso Caramazza, Liina Pylkkänen and Karen Emmorey, Mauricio Delgado and Elizabeth Phelps, Anjan Chatterjee and Adina Roskies
Speech Perception
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Author : Lori L. Holt
language : en
Publisher: Springer Nature
Release Date : 2022-02-22
Speech Perception written by Lori L. Holt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-22 with Medical categories.
This volume reviews contemporary developments in the auditory cognitive neuroscience of speech perception, including both behavioral and neural contributions. It serves as an important update on the current state of research in speech perception. The Auditory Cognitive Neuroscience of Speech Perception in Context Lori L. Holt, and Jonathan E. Peelle Subcortical Processing of Speech Sounds Bharath Chandrasekaran, Rachel Tessmer, and G. Nike Gnanateja Cortical Representation of Speech Sounds: Insights from Intracranial Electrophysiology Yulia Oganian, Neal P. Fox, and Edward F. Chang A Parsimonious Look at Neural Oscillations in Speech Perception Sarah Tune, and Jonas Obleser Extracting Language Content From Speech Sounds: The Information Theoretic Approach Laura Gwilliams, and Matthew H. Davis Speech Perception under Adverse Listening Conditions Stephen C. Van Hedger, and Ingrid S. Johnsrude Adaptive Plasticity in Perceiving Speech Sounds Shruti Ullas, Milene Bonte, Elia Formisano, and Jean Vroomen Development of Speech Perception Judit Gervain Interactions Between Audition and Cognition in Hearing Loss and Aging Chad S. Rogers, and Jonathan E. Peelle Dr. Lori Holt is a Professor of Psychology at Carnegie Mellon University and has affiliations with the Center for the Neural Basis of Cognition and the Center for Neuroscience University of Pittsburgh. Dr. Jonathan E. Peelle is a Professor in the Department of Otolaryngology at the Washington University in St. Louis. Dr. Allison Coffin is an Associate Professor in the Department of Integrative Physiology and Neuroscience at Washington State University Vancouver. Dr. Arthur N. Popper is Professor Emeritus and research professor in the Department of Biology at the University of Maryland, College Park. Dr. Richard R. Fay is Distinguished Research Professor of Psychology at Loyola, Chicago.
The Speech Chain
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Author : Dr. Peter B. Denes
language : en
Publisher: Pickle Partners Publishing
Release Date : 2016-08-09
The Speech Chain written by Dr. Peter B. Denes and has been published by Pickle Partners Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-09 with Science categories.
Originally published in 1963, The Speech Chain has been regarded as the classic, easy-to-read introduction to the fundamentals and complexities of speech communication. It provides a foundation for understanding the essential aspects of linguistics, acoustics and anatomy, and explores research and development into digital processing of speech and the use of computers for the generation of artificial speech and speech recognition. This interdisciplinary account will prove invaluable to students with little or no previous exposure to the study of language.
Linguistics And Language Behavior Abstracts
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Author :
language : en
Publisher:
Release Date : 2006
Linguistics And Language Behavior Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Language and languages categories.
Neurobiology Of Language
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Author : Gregory Hickok
language : en
Publisher: Academic Press
Release Date : 2015-08-15
Neurobiology Of Language written by Gregory Hickok and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-15 with Psychology categories.
Neurobiology of Language explores the study of language, a field that has seen tremendous progress in the last two decades. Key to this progress is the accelerating trend toward integration of neurobiological approaches with the more established understanding of language within cognitive psychology, computer science, and linguistics. This volume serves as the definitive reference on the neurobiology of language, bringing these various advances together into a single volume of 100 concise entries. The organization includes sections on the field's major subfields, with each section covering both empirical data and theoretical perspectives. "Foundational" neurobiological coverage is also provided, including neuroanatomy, neurophysiology, genetics, linguistic, and psycholinguistic data, and models. Foundational reference for the current state of the field of the neurobiology of language Enables brain and language researchers and students to remain up-to-date in this fast-moving field that crosses many disciplinary and subdisciplinary boundaries Provides an accessible entry point for other scientists interested in the area, but not actively working in it – e.g., speech therapists, neurologists, and cognitive psychologists Chapters authored by world leaders in the field – the broadest, most expert coverage available
Computational Paralinguistics
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Author : Björn Schuller
language : en
Publisher: John Wiley & Sons
Release Date : 2013-09-17
Computational Paralinguistics written by Björn Schuller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-17 with Technology & Engineering categories.
This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (‘paralinguistics’) expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence. Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics. C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration. Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures. Outlines machine learning approaches including static, dynamic and context‐sensitive algorithms for classification and regression. Includes a tutorial on freely available toolkits, such as the open-source ‘openEAR’ toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus.