Overview of Speech Recognition in the ‘SPICOS’ System
In this paper, a recognition technique used in the ‘SPICOS’ project is described. It is based on an integrated approach that combines the various knowledge sources, such as inventory of subword unit, pronunciation lexicon and language model, during the process of decision making in order to improve the reliability of the acoustic recognition. The recognition decision amounts to a search through a large state space with delayed decisions. The speaker dependent recognition tests are performed on a speech data base comprising 3 sessions of each of 5 speakers. A session consists of 200 sentences and amounts to 1391 word samples.
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