Connected word recognition using a cascaded neuro computational model
ABSTRACT We propose a novel framework for processing a continuous speech stream that contains a varying number of words, as well as non speech periods. Speech samples are segmented into word tokens and non speech periods. An augmented version of an earlier proposed, cascaded neuro computational model is used for recognising individual words within the stream. Simulation studies using both a multi speaker dependent and speaker independent digit string database show that the proposed method yields a recognition performance comparable to that obtained by a benchmark approach using hidden Markov models with embedded training.
Connect. Sci.