Join our mailing list
Get exclusive deals and learn about new products!
Reliable shipping
Flexible returns
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.
Published by: Springer
Publication Date: 2009-03-19
Format: Hardcover
ISBN-13: 9780387858296
DOI: 10.1007/978-0-387-85830-2
Dimensions: 235cm x155cm
Pages: 196