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The book explores new ways to reconstruct and enhance speech that
is compromised by various neuro-motor disorders - collectively
known as "dysarthria." The authors address some of the extant
lacunae in speech research of dysarthric conditions: they show how
new methods can improve speaker recognition when speech is impaired
due to developmental or acquired pathologies; they present a novel
multi-dimensional approach to help the speech system both assess
dysarthric speech and to perform intelligibility improvement of the
impaired speech; they display well-performing software solutions
for developmental and acquired speech impairments, and for vocal
injuries; and they examine non-acoustic signals and muted nonverbal
sounds in relation to audible speech conversion.
The book explores new ways to reconstruct and enhance speech that
is compromised by various neuro-motor disorders - collectively
known as "dysarthria." The authors address some of the extant
lacunae in speech research of dysarthric conditions: they show how
new methods can improve speaker recognition when speech is impaired
due to developmental or acquired pathologies; they present a novel
multi-dimensional approach to help the speech system both assess
dysarthric speech and to perform intelligibility improvement of the
impaired speech; they display well-performing software solutions
for developmental and acquired speech impairments, and for vocal
injuries; and they examine non-acoustic signals and muted nonverbal
sounds in relation to audible speech conversion.
Signal and Acoustic Modeling for Speech and Communication Disorders
demonstrates how speech signal processing and acoustic modeling can
be instrumental in early detection and successful intervention with
speech deficits resulting from Parkinson's disease, Autism Spectrum
disorder, cleft palate, intellectual disabilities, and neuro-motor
impairments. Utilizing some of the most advanced methods in signal
and acoustic modeling, this eminent group of contributors show how
such technologies can inure to the benefit of healthcare and to
society writ large. Paradoxically, what most of us take for granted
still remains a Sisyphean battle for those with speech and language
disorders, who struggle every day to make themselves heard and
understood. The purpose of this book is to stimulate a vibrant
discussion among speech scientists, system designers, and
practitioners on how to best marshal the latest advances in signal
and acoustic modeling to address some of the most challenging
speech and communication disorders affecting a wide variety of
patient populations across the world.
Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism
is an anthology of the research findings of 35 speaker recognition
experts from around the world. The volume provides a
multidimensional view of the complex science involved in
determining whether a suspect's voice truly matches forensic speech
samples, collected by law enforcement and counter-terrorism
agencies, that are associated with the commission of a terrorist
act or other crimes. While addressing such topics as the challenges
of forensic case work, handling speech signal degradation,
analyzing features of speaker recognition to optimize voice
verification system performance, and designing voice applications
that meet the practical needs of law enforcement and
counter-terrorism agencies, this material all sounds a common
theme: how the rigors of forensic utility are demanding new levels
of excellence in all aspects of speaker recognition. The
contributors are among the most eminent scientists in speech
engineering and signal processing; and their work represents such
diverse countries as Switzerland, Sweden, Italy, France, Japan,
India and the United States. Forensic Speaker Recognition is a
useful book for forensic speech scientists, speech signal
processing experts, speech system developers, criminal prosecutors
and counter-terrorism intelligence officers and agents.
Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism
is an anthology of the research findings of 35 speaker recognition
experts from around the world. The volume provides a
multidimensional view of the complex science involved in
determining whether a suspect's voice truly matches forensic speech
samples, collected by law enforcement and counter-terrorism
agencies, that are associated with the commission of a terrorist
act or other crimes. While addressing such topics as the challenges
of forensic case work, handling speech signal degradation,
analyzing features of speaker recognition to optimize voice
verification system performance, and designing voice applications
that meet the practical needs of law enforcement and
counter-terrorism agencies, this material all sounds a common
theme: how the rigors of forensic utility are demanding new levels
of excellence in all aspects of speaker recognition. The
contributors are among the most eminent scientists in speech
engineering and signal processing; and their work represents such
diverse countries as Switzerland, Sweden, Italy, France, Japan,
India and the United States. Forensic Speaker Recognition is a
useful book for forensic speech scientists, speech signal
processing experts, speech system developers, criminal prosecutors
and counter-terrorism intelligence officers and agents.
This book provides the reader with empirical findings on innovative
signal processing approaches to detecting pathologies in infant
cries, by comparing new technological approaches to standard ones.
The contributors examine novel approaches to machine adaptation to
dysarthric speech.
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