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This paper formulates a novel approach to spoken document information retrieval for instinctive speech corpora. The conventional method for this problem is to make use of an Automatic Speech Recognizer (ASR) integrated with the typical information retrieval method. However, ASRs tend to produce transcripts of spontaneous speech with momentous word error rate, which is a negative aspect of standard...
This paper proposes a hybrid classifier consisting of two phases which work in tandem. In the first phase, particle swarm optimization trained auto associative neural network (PSOAANN) is executed in which weights of three layered of AANN are updated using particle swarm optimization (PSO). In this phase, dimensionality reduction takes place by treating the hidden nodes which should be less than the...
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