Sakriani Sakti, Konstantin Markov, Satoshi Nakamura

Incorporating Knowledge Sources into Statistical Speech Recognition

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

• Broschiertes 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.

Produktdetails

• Lecture Notes in Electrical Engineering 42
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-4676-8
• Softcover reprint of hardcover 1st ed. 2009
• Seitenzahl: 220
• Erscheinungstermin: 5. November 2010
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 337g
• ISBN-13: 9781441946768
• ISBN-10: 1441946764
• Artikelnr.: 32871931

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.