Self-learning speaker identification : a system for enhanced speech recognition
Current speech recognition systems suffer from variation of voice characteristics between speakers as they are usually based on speaker independent speech models. In order to resolve this issue, adaptation methods have been developed in many state-of-the-art systems. However, information acquired ov...
Kaydedildi:
| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2011.
Cham : Springer Nature |
| Seri Bilgileri: | Signals and Communication Technology
|
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Self-Learning Speaker Identification, Texte imprimé, 9783642198984 • Self-Learning Speaker Identification, Texte imprimé, 9783642199004 • Self-Learning Speaker Identification, Texte imprimé, 9783642268809 |
İçindekiler:
- Introduction
- State of the Art
- Fundamentals
- Speech Production
- Front-End
- Speaker Change
- Speaker Identification.-Speaker Adaptation.