Modelling context in automatic speech recognition (2008)
Abstract / truncated to 115 words
Speech is at the core of human communication. Speaking and listing comes so natural to us that we do not have to think about it at all. The underlying cognitive processes are very rapid and almost completely subconscious. It is hard, if not impossible not to understand speech. For computers on the other hand, recognising speech is a daunting task. It has to deal with a large number of different voices "influenced, among other things, by emotion, moods and fatigue" the acoustic properties of different environments, dialects, a huge vocabulary and an unlimited creativity of speakers to combine words and to break the rules of grammar. Almost all existing automatic speech recognisers use statistics over ...
automatic speech recognition – language modelling – dynamic bayesian networks
Information
- Author
- Wiggers, Pascal
- Institution
- Delft University of Technology
- Supervisors
- Publication Year
- 2008
- Upload Date
- Sept. 9, 2008
First few pages / click to enlarge
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