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.and. Book. Overview. 1.1. Automatic. Speech. Recognition. -. A. Way. of. Human- Machine. Communication ... (1957) and also Turn (1974), where spontaneous speech was shown to have a typical transmission rate of around 2.0 to 3.6 words per second; in contrast, ... Springer Science + Business Media, LLC 2009 1 Lecture Notes in Electrical Engineering 42, DOI: 10.1007/978-0-387-85830-2_1, S. Saktianbsp;...
|Title||:||Incorporating Knowledge Sources into Statistical Speech Recognition|
|Author||:||Sakriani Sakti, Konstantin Markov, Satoshi Nakamura, Wolfgang Minker|
|Publisher||:||Springer Science & Business Media - 2009-02-27|