Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

Incorporating Knowledge Sources Into Statistical Speech Recognition

Mitwirkender: Sakti, Sakriani; Nakamura, Satoshi; Markov, Konstantin

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Lecture Notes in Electrical Engineering 42
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 12105687, 978-0-387-85829-6
• 2009 edition
• Seitenzahl: 196
• Erscheinungstermin: 19. März 2009
• Englisch
• Abmessung: 243mm x 162mm x 18mm
• Gewicht: 455g
• ISBN-13: 9780387858296
• ISBN-10: 0387858296
• Artikelnr.: 25683027

Inhaltsangabe

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

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