Timbre Acoustics Perception And Cognition

Roughly defined as any property other than pitch, duration, and loudness that allows two sounds to be distinguished, timbre is a foundational aspect of hearing. The remarkable ability of humans to recognize sound sources and events (e.g., glass breaking, a friend’s voice, a tone from a piano) stems primarily from a capacity to perceive and process differences in the timbre of sounds. Timbre raises many important issues in psychology and the cognitive sciences, musical acoustics, speech processing, medical engineering, and artificial intelligence. Current research on timbre perception unfolds along three main fronts: On the one hand, researchers explore the principal perceptual processes that orchestrate timbre processing, such as the structure of its perceptual representation, sound categorization and recognition, memory for timbre, and its ability to elicit rich semantic associations, as well as the underlying neural mechanisms. On the other hand, timbre is studied as part of specific scenarios, including the perception of the human voice, as a structuring force in music, as perceived with cochlear implants, and through its role in affecting sound quality and sound design. Finally, computational acoustic models are sought through prediction of psychophysical data, physiologically inspired representations, and audio analysis-synthesis techniques. Along these three scientific fronts, significant breakthroughs have been achieved during the last decade. This volume will be the first book dedicated to a comprehensive and authoritative presentation of timbre perception and cognition research and the acoustic modeling of timbre. The volume will serve as a natural complement to the SHAR volumes on the basic auditory parameters of Pitch edited by Plack, Oxenham, Popper, and Fay, and Loudness by Florentine, Popper, and Fay. Moreover, through the integration of complementary scientific methods ranging from signal processing to brain imaging, the book has the potential to leverage new interdisciplinary synergies in hearing science. For these reasons, the volume will be exceptionally valuable to various subfields of hearing science, including cognitive auditory neuroscience, psychoacoustics, music perception and cognition, but may even exert significant influence on fields such as musical acoustics, music information retrieval, and acoustic signal processing. It is expected that the volume will have broad appeal to psychologists, neuroscientists, and acousticians involved in research on auditory perception and cognition. Specifically, this book will have a strong impact on hearing researchers with interest in timbre and will serve as the key publication and up-to-date reference on timbre for graduate students, postdoctoral researchers, as well as established scholars.

This book contains a complete and accurate mathematical treatment of the sounds of music with an emphasis on musical timbre. The book spans the range from tutorial introduction to advanced research and application to speculative assessment of its various techniques. All the contributors use a generalized additive sine wave model for describing musical timbre which gives a conceptual unity, but is of sufficient utility to be adapted to many different tasks.

Despite its importance as a central feature of musical sounds, timbre has rarely stood in the limelight. First defined in the eighteenth century, denigrated during the nineteenth, the concept of timbre came into its own during the twentieth century and its fascination with synthesizers and electronic music-or so the story goes. But in fact, timbre cuts across all the boundaries that make up musical thought-combining scientific and artistic approaches to music, material and philosophical aspects, and historical and theoretical perspectives. Timbre challenges us to fundamentally reorganize the way we think about music. The twenty-five essays that make up this collection offer a variety of engagements with music from the perspective of timbre. The boundaries are set as broad as possible: from ancient Homeric sounds to contemporary sound installations, from birdsong to cochlear implants, from Tuvan overtone singing to the tv show The Voice, from violin mutes to Moog synthesizers. What unifies the essays across this vast diversity is the material starting point of the sounding object. This focus on the listening experience is radical departure from the musical work that has traditionally dominated musical discourse since its academic inception in late-nineteenth-century Europe. Timbre remains a slippery concept that has continuously demanded more, be it more precise vocabulary, a more systematic theory, or more rigorous analysis. Rooted in the psychology of listening, timbre consistently resists pinning complete down. This collection of essays provides an invitation for further engagement with the range of fascinating questions that timbre opens up.

This book constitutes the refereed proceedings and revised selected papers from the 15th International Symposium on Music in the AI Era, CMMR 2021, which took place during November 15–19, 2021 as a virtual event. The 24 full papers included in this book were carefully reviewed and selected from 48 submissions. The papers are grouped in thematical sessions on Music technology in the IA era; Interactive systems for music; Music Information Retrieval and Modeling; and Music and Performance Analysis.

This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.

This book constitutes the refereed proceedings of the 14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019, held in Marseille, France, in October 2019. The 46 full papers presented were selected from 105 submissions. The papers are grouped in 9 sections. The first three sections are related to music information retrieval, computational musicology and composition tools, followed by a section on notations and instruments distributed on mobile devices. The fifth section concerns auditory perception and cognition, while the three following sections are related to sound design and sonic and musical interactions. The last section contains contributions that relate to Jean-Claude Risset's research.