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The Technology of Binaural Understanding

ISBN-13: 9783030003852 / Angielski / Twarda / 2020 / 815 str.

The Technology of Binaural Understanding  9783030003852 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

The Technology of Binaural Understanding

ISBN-13: 9783030003852 / Angielski / Twarda / 2020 / 815 str.

cena 923,70
(netto: 879,71 VAT:  5%)

Najniższa cena z 30 dni: 886,75
Termin realizacji zamówienia:
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Dostawa w 2026 r.

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This book offers a computational framework for modeling active exploratory listening that assigns meaning to auditory scenes. Understanding auditory perception and cognitive processes involved with our interaction with the world are of high relevance for a vast variety of ICT systems and applications. Human beings do not react according to what they perceive, but rather, they react on the grounds of what the percepts mean to them in their current action-specific, emotional and cognitive situation. Thus, while many models that mimic the signal processing involved in human visual and auditory processing have been proposed, these models cannot predict the experience and reactions of human users. This book presents a model that incorporates both signal-driven (bottom-up), and hypothesis-driven (top-down) processing.

Kategorie:
Nauka, Fizyka
Kategorie BISAC:
Technology & Engineering > Acoustics & Sound
Science > Acoustics & Sound
Technology & Engineering > Electronics - General
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9783030003852
Rok wydania:
2020
Wydanie:
2020
Ilość stron:
815
Waga:
1.31 kg
Wymiary:
23.39 x 15.6 x 4.45
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

"Thought-provoking, encyclopedic in its literature review, and deeply enjoyable. ... The Technology of Binaural Understanding is a great physical representation of blackboard architecture: numerous experts coming together to contribute their collective experience. ... The Technology of Binaural Understanding will certainly inspire current and future generations of acousticians." (Brandon Cudequest, Journal of the Audio Engineering Society, Vol. 69 (5), 2021)

Part 1:  Forming and Interpreting Aural Objects: Effects and Models.- Part 2:  Configuring and Understanding Aural-Space.- Part 3:  Processing Cross-modal Inference.- Part 4: Evaluating Aural-scene Quality and Speech Understanding.- Part 5:  Applying Cognitive Mechanisms in Audio Technology.

 

 

 

Jens Peter Blauert (born 20 June 1938 in Hamburg) is a German scientist specializing in psycho-acoustics and an emeritus professor at the Ruhr-Universität Bochum, where he founded the Institute of Communication Acoustics. His major scientific fields of interest are spatial hearing, binaural technology, aural architecture, perceptual quality, speech technology, virtual environments and tele-presence.


Jonas Braasch is Associate Professor at the School of Architecture at Rensselaer Polytechnic Institute, where he teaches in the Graduate Program in Architectural Acoustics. His research interests span binaural hearing, auditory modeling, multimodal integration, sensory substitution devices, aural architecture and creative processes in music improvisation. At RPI, he directs the Communication Acoustics and Aural Architecture Research Laboratory (CA^3 RL). He obtained a master’s degree from Dortmund University (Germany, 1998) in Physics and two PhD degrees from Ruhr-University Bochum, Germany (2001, 2004) in Electrical Engineering/Information Science and Musicology. His research interests include Binaural Hearing, Multi-channel Audio Technology, Telematic Music Systems, Perceptual Audio/Visual Integration, Intelligent Systems, and Musical Acoustics. For his work, he has received funding from NSF, NSERC, DFG (German Science Foundation), and NYSCA. As a soprano saxophonist and sound artist, he has worked with Curtis Bahn, Chris Chafe, Michael Century, Mark Dresser, Francisco Lopez, Pauline Oliveros, and Doug van Nort – among others. Jonas Braasch is an affiliated faculty member of RPI’s Experimental Media and Performing Arts Center (EMPAC) and Board Member of the Deep Listening Institute (Kingston, NY).

This book offers a computational framework for modeling active exploratory listening that assigns meaning to auditory scenes. Understanding auditory perception and cognitive processes involved with our interaction with the world are of high relevance for a vast variety of ICT systems and applications. Human beings do not react according to what they perceive, but rather, they react on the grounds of what the percepts mean to them in their current action-specific, emotional and cognitive situation. Thus, while many models that mimic the signal processing involved in human visual and auditory processing have been proposed, these models cannot predict the experience and reactions of human users. This book presents a model that incorporates both signal-driven (bottom-up), and hypothesis-driven (top-down) processing.



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