Self-learning speaker identification: a system for enhanced speech recognition

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 recognitionin 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 anew 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. Includes an overview on the state of art. Gives an approach for In-Car Applications. Written for professionals and practitioners in that field. INDICE: Introduction. State of the Art. Fundamentals. Speech Production. Front-End. Speaker Change. Speaker Identification.-Speaker Adaptation.

• ISBN: 978-3-642-19898-4
• Editorial: Springer Berlin Heidelberg
• Encuadernacion: Cartoné
• Páginas: 172
• Fecha Publicación: 18/06/2011
• Nº Volúmenes: 1
• Idioma: Inglés