Concurrent Constraint Programming and Tree–Based Acoustic Modelling
The design of acoustic models is key to a reliable connection between acoustic waveform and linguistic message in terms of individual speech units. We present an original application of concurrent constraint programming in this important area of spoken language processing. The application presented here employs concurrent constraint programming – represented by Mozart/Oz  – to overcome the problem of sparse training data in order to provide context-dependent acoustic models for automatic speech recognition.
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