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£129.99
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Springer Statistical Speech Recognition Knowledge Sources - Springer
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Description
Key Features
Addresses the core challenge of balancing speech variability knowledge against practical training and recognition computational constraints in statistical speech recognition systems.
Presents an efficient general framework that integrates additional knowledge sources into existing state-of-the-art statistical ASR systems with flexible model-based likelihood functions.
Applies to numerous existing ASR problems, making the framework adaptable across different speech recognition applications and use cases.
Published by Springer as part of the established Lecture Notes in Electrical Engineering series, ensuring academic rigor and relevance to the field.
Provides both theoretical foundations and practical methodologies for researchers and practitioners seeking to improve automatic speech recognition performance.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 0387858296
- Domain
- Amazon UK
- Release Date
- 19 March 2009
- Listed Since
- 07 August 2008
Barcode
No barcode data available
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