Incorporating Knowledge Sources into Statistical Speech Recognition
Author | : Sakriani Sakti |
Publisher | : Springer Science & Business Media |
Total Pages | : 207 |
Release | : 2009-02-27 |
ISBN-10 | : 9780387858302 |
ISBN-13 | : 038785830X |
Rating | : 4/5 (30X Downloads) |
Download or read book Incorporating Knowledge Sources into Statistical Speech Recognition written by Sakriani Sakti and published by Springer Science & Business Media. This book was released on 2009-02-27 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.