Self-Learning Speaker Identification

A System for Enhanced Speech Recognition
2011
ISBN: 978-3-642-26880-9
Verlag: Springer

Buch, Englisch, 172 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 289 g

Reihe: Signals and Communication Technology

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities of the system. This work introduces a reliable speaker identification which enables the speech recognizer to create robust speaker dependent models In addition, this book gives a new approach to solve the reverse problem, how to improve speech recognition if speakers can be recognized. The speaker identification enables the speaker adaptation to adapt to different speakers which results in an optimal long-term adaptation.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Herbig, Tobias

Minker, Wolfgang

Gerl, Franz

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Introduction.- State of the Art.- Fundamentals.- Speech Production.- Front-End.- Speaker Change.- Speaker Identification.-Speaker Adaptation.