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Books > Computing & IT > Applications of computing > Signal processing
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Data-Driven Multi-Microphone Speaker Localization on Manifolds (Paperback)
Loot Price: R2,328
Discovery Miles 23 280
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Data-Driven Multi-Microphone Speaker Localization on Manifolds (Paperback)
Series: Foundations and Trends (R) in Signal Processing
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Acoustic source localization is an essential component in many
modern day audio applications. For example, smart speakers require
localization capabilities in order to determine the speakers in the
scene and their role. Based on the location information, they can
enhance a speaker or carry out location specific tasks, such as
switching the lights on and off, steering a camera, etc.
Localization has often been based on creating physical models which
become extremely intricate in real-world applications. Recently,
researchers have started using learning techniques to address
localization problems.This monograph introduces the reader to the
research and practical aspects behind the approach of learning the
characteristics of the acoustic environment directly from the data
rather than using a predefined physical model. Written by the
experts in the field who have developed many of these techniques,
it provides a comprehensive overview and insights into this
burgeoning area of acoustic developments. The reader is introduced
to the underlying mathematics before being introduced to the
localization problem in depth. The core paradigm of using manifolds
for diffusion mapping and distance is then described. Building on
these concepts, the authors address both single and multiple
manifold localization. Finally, manifold-based tracking is covered.
Data-Driven Multi-Microphone Speaker Localization on Manifolds is
an illuminating introduction to designing and building acoustic
systems where localization of multi-microphone and speakers forms
an essential part of the system.
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