Tobias Herbig & Franz Gerl 
Self-Learning Speaker Identification [PDF ebook] 
A System for Enhanced Speech Recognition

Support

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.

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Table des matières

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

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Langue Anglais ● Format PDF ● Pages 172 ● ISBN 9783642198991 ● Taille du fichier 2.0 MB ● Maison d’édition Springer Berlin ● Lieu Heidelberg ● Pays DE ● Publié 2011 ● Téléchargeable 24 mois ● Devise EUR ● ID 5238791 ● Protection contre la copie DRM sociale

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