<p>The book explores new ways to reconstruct and enhance speech that is compromised by various neuro-motor disorders β collectively known as βdysarthria.β The authors address some of the extant lacunae in speech research of dysarthric conditions: they show how new methods can improve speaker recogni
BAND Voice Technologies for Speech Reconstruction and Enhancement
β Scribed by Hemant A. Patil (editor); Amy Neustein (editor)
- Publisher
- De Gruyter
- Year
- 2020
- Tongue
- English
- Leaves
- 228
- Series
- Speech Technology and Text Mining in Medicine and Health Care; 6
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The book explores new ways to reconstruct and enhance speech that is compromised by various neuro-motor disorders β collectively known as βdysarthria.β 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 provides an anthology of empirical studies of speech technologies for voice reconstruction for those who have lost their natural voices due to largectomies or have severely impaired voices that require speech enhancement.
π SIMILAR VOLUMES
A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.
<p><span>We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc.) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to
<p><span>This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal proc
<p><p>βThis book provides various speech enhancement algorithms for digital hearing aids. It covers information on noise signals extracted from silences of speech signal. The description of the algorithm used for this purpose is also provided. Different types of adaptive filters such as Least Mean S