Voice Technologies for Speech Reconstruction and Enhancement / Hemant A. Patil, Amy Neustein
- Published:
- Berlin ; Boston : De Gruyter, [2020]
- Copyright Date:
- ©2020
- Physical Description:
- 1 online resource (XIV, 214 pages).
- Additional Creators:
- Neustein, Amy and Patil, Hemant A.
Access Online
- Series:
- Language Note:
- In English.
- Restrictions on Access:
- restricted access http://purl.org/coar/access_right/c_16ec online access with authorization
- Contents:
- Frontmatter -- Foreword -- Acknowledgments -- Contents -- List of contributors -- Introduction -- 1. State-of-the-art speaker recognition methods applied to speakers with dysarthria -- 2. Enhancement of continuous dysarthric speech -- 3. Assessment and intelligibility modification for dysarthric speech -- 4. Analysis and quality conversion of nonacoustic signals: the physiological microphone (PMIC) -- 5. Non-audible murmur to audible speech conversion -- 6. Application of speech signal processing for assessment and treatment of voice and speech disorders -- 7. A mobile phone-based platform for asynchronous speech therapy
- Summary:
- 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.
- Subject(s):
- ISBN:
- 9781501501265
- Digital File Characteristics:
- PDF
text file - Technical Details:
- Mode of access: Internet via World Wide Web.
View MARC record | catkey: 32863996