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The Technology of Binaural Understanding [electronic resource] / edited by Jens Blauert, Jonas Braasch.

Contributor(s): Blauert, Jens [editor.] | Braasch, Jonas [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Modern Acoustics and Signal Processing: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XI, 815 p. 213 illus., 152 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030003869.Subject(s): Acoustics | Acoustical engineering | Signal processing | Acoustics | Engineering Acoustics | Signal, Speech and Image ProcessingAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 534 Online resources: Click here to access online
Contents:
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. .
In: Springer Nature eBookSummary: 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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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. .

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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