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This book is about recent research in the area of profiling humans
from their voice, which seeks to deduce and describe the speaker's
entire persona and their surroundings from voice alone. It covers
several key aspects of this technology, describing how the human
voice is unique in its ability to both capture and influence the
human persona -- how, in some ways, voice is more potent and
valuable then DNA and fingerprints as a metric, since it not only
carries information about the speaker, but also about their current
state and their surroundings at the time of speaking. It provides a
comprehensive review of advances made in multiple scientific fields
that now contribute to its foundations. It describes how artificial
intelligence enables mechanisms of discovery that were not possible
before in this context, driving the field forward in unprecedented
ways. It also touches upon related and relevant challenges posed by
voice disguise and other mechanisms of voice manipulation. The book
acts as a good resource for academic researchers, and for
professional agencies in many areas such as law enforcement,
healthcare, social services, entertainment etc.
Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical.
Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with a tutorial-style chapter of background material, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of applications and demonstrates to potential users of the technology the results possible with the noise reduction techniques presented.
The book offers chapters contributed by international experts, a practical, systems approach, and numerous references. For electrical, acoustics, signal processing, communications, and bioengineers, Noise Reduction in Speech Applications is a valuable resource that shows you how to decide whether noise reduction will solve problems in your own systems and how to make the best use of the technologies available.
This book is about recent research in the area of profiling humans
from their voice, which seeks to deduce and describe the speaker's
entire persona and their surroundings from voice alone. It covers
several key aspects of this technology, describing how the human
voice is unique in its ability to both capture and influence the
human persona -- how, in some ways, voice is more potent and
valuable then DNA and fingerprints as a metric, since it not only
carries information about the speaker, but also about their current
state and their surroundings at the time of speaking. It provides a
comprehensive review of advances made in multiple scientific fields
that now contribute to its foundations. It describes how artificial
intelligence enables mechanisms of discovery that were not possible
before in this context, driving the field forward in unprecedented
ways. It also touches upon related and relevant challenges posed by
voice disguise and other mechanisms of voice manipulation. The book
acts as a good resource for academic researchers, and for
professional agencies in many areas such as law enforcement,
healthcare, social services, entertainment etc.
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