Voice Technologies for Speech Reconstruction and Enhancement

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.

Autorentext

Hemant Patil, India; Amy Neustein, USA.

Inhalt

1. Hemant A. Patil and Tanvina B. Patel, Chaotic titration method for analysis of normal and pathological infant cry.

2. Anshu Chittora and Hemant A. Patil, Analysis of normal and pathological infant cry.

3. P. Vijayalakshmi and T. Nagarajan, Assessment and intelligibility modification for dysarthric speech.

4. Tomoki Toda, Statistical alaryngeal speech enhancement for laryngectomees.

5. K. Sreenivasa Rao, Avinash Kumar Singh, Jayanta Mukhopadhyay, Siva Ayyappa Kumar B, Sunil Kumar S B and Ramu Reddy Vempada, Infant Cry Recognition using Source, System, Prosody and Epoch Features.

6. John H. L. Hansen et al. , Voice conversion for non-vocal speech.

7. Christophe Veaux, Junichi Yamagishi, Simon King, Shuna Colville, Philippa Rewaj, Siddharthan Chandran, Gergely Bakos, Speech Synthesis Technologies for Individuals with Vocal Disabilitieszz; Voice banking and voice reconstructio.

8. Vinay Kumar Mittal, Analysis of Shout and Automatic Detection for Healthcare Application.

9. Shou-Chun Yin, Richard Rose, Computer aided speech therapy for dysarthric speakers: Statistical acoustic modelling for automated verification of pronunciation accuracy.

10. T. V. Ananthapadmanabha, Application of Speech Signal Processing for Voice Assessment, Voice and Speech Therapy.