Incorporating Knowledge Sources Into Statistical Speech Recognition

2009. Auflage 2009
ISBN: 978-0-387-85829-6
Verlag: Springer Us

Buch, Englisch, 196 Seiten, Format (B × H): 162 mm x 243 mm, Gewicht: 455 g

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

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

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