Sakti / Markov / Nakamura Incorporating Knowledge Sources into Statistical Speech Recognition

1. Auflage 2009
ISBN: 978-0-387-85830-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 42, 196 Seiten, eBook

Reihe: Lecture Notes in Electrical Engineering

Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.

Zielgruppe

Research

Autoren/Hrsg.

Sakti, Sakriani

Markov, Konstantin

Nakamura, Satoshi

Minker, Wolfgang

Inhaltsverzeichnis

and Book Overview.- Statistical Speech Recognition.- Graphical Framework to Incorporate Knowledge Sources.- Speech Recognition Using GFIKS.- Conclusions and Future Directions.