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{ "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/44/194/676/1441946764_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Incorporating Knowledge Sources Into Statistical Speech Recognition|Sakriani Sakti

Incorporating Knowledge Sources Into Statistical Speech Recognition

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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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