{
"item_title" : "Incorporating Knowledge Sources Into Statistical Speech Recognition",
"item_author" : [" Sakriani Sakti", "Konstantin Markov", "Satoshi Nakamura "],
"item_description" : "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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Incorporating Knowledge Sources Into Statistical Speech Recognition
Overview
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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Details
- ISBN-13: 9781441946768
- ISBN-10: 1441946764
- Publisher: Springer
- Publish Date: November 2010
- Dimensions: 9.21 x 6.14 x 0.46 inches
- Shipping Weight: 0.69 pounds
- Page Count: 196
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