Robust Adaptation to Non-Native Accents in Automatic Speech Recognition

• Main Author: Goronzy, Silke (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
• Edition: 1st ed. 2002.
• Series: Lecture Notes in Artificial Intelligence ; 2560
• Subjects: Artificial intelligence.; Signal processing.; Image processing.; Speech processing systems.; Mathematical logic.; User interfaces (Computer systems).; Artificial Intelligence.; Signal, Image and Speech Processing.; Mathematical Logic and Formal Languages.; User Interfaces and Human Computer Interaction.

Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems. In this book, methods to overcome this problem are descri...

Table of Contents:

• ASR:AnOverview
• Pre-processing of the Speech Data
• Stochastic Modelling of Speech
• Knowledge Bases of an ASR System
• Speaker Adaptation
• Confidence Measures
• Pronunciation Adaptation
• Future Work
• Summary
• Databases and Experimental Settings
• MLLR Results
• Phoneme Inventory.