The wide area of the application of HMM is in Speech Recognition where each spoken word is considered as a single unit to be recognized from the trained word network. Using this concept some research has been done for character recognition. In this paper, we present the training and recognition mechanism of a Hidden Markov Model (HMM) based multi font supported Optical Character Recognition (OC...

In this paper, we present some techniques to solve the problems of Turkish Large Vocabulary Continuous Speech Recognition (LVCSR). Its agglutinative nature makes Turkish a challenging language in terms of speech recognition since it is impossible to include all possible words in the recognition lexicon. Therefore, data-driven sub-word recognition units, in addition to words, are used in a newsp...

In this paper, we use subword modeling to learn the pronunciations and spellings of new words. The subwords are generated with a context-free grammar, and are intermediate units between phonemes and syllables. We first evaluate the effectiveness of the subword model in automatically generating the spelling and pronunciation of new words. Then the subword model is embedded in a multi-stage recog...

Evidence that listeners use durational cues to help resolve temporarily ambiguous speech input has accumulated over the past few years. In this paper, we investigate whether durational cues are also beneficial for word recognition in a computational model of spoken-word recognition. Two sets of simulations were carried out using the acoustic signal as input. The simulations showed that the comp...