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Incorporating Knowledge Sources into Statistical Speech Recognition

Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker
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      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.
      Format: CONTRIBUTORS: Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker EAN: 9780387858296 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2009-03-19 CITY: GENRE: COMPUTERS / Networking / Hardware, SCIENCE / Acoustics & Sound, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Telecommunications WIDTH: 155 cm SPINE:

      Book Themes:

      Wave mechanics (vibration and acoustics), Electrical engineering, Electronics engineering, Communications engineering / telecommunications, Network hardware, Digital signal processing (DSP)

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      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.
      Format: CONTRIBUTORS: Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker EAN: 9780387858296 COUNTRY: United States PAGES: WEIGHT: 0 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2009-03-19 CITY: GENRE: COMPUTERS / Networking / Hardware, SCIENCE / Acoustics & Sound, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Telecommunications WIDTH: 155 cm SPINE:

      Book Themes:

      Wave mechanics (vibration and acoustics), Electrical engineering, Electronics engineering, Communications engineering / telecommunications, Network hardware, Digital signal processing (DSP)

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      Be the first to write a review
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