In the paper, the method of short word deletion errors correction in automatic speech recognition is described. Short word deletion errors appear to be a frequent error type in Polish speech recognition. The proposed speech recognition process consists of two stages. At the first stage the utterance is recognized by a typical speech recognizer based on forward bigram language model. At the seco...

Does prosody help word recognition? In this paper, we propose a novel probabilistic framework in which word and phoneme are dependent on prosody in a way that improves word recognition. The prosody attribute that we investigate in this study is the lengthening of speech segments in the vicinity of intonational phrase boundaries. Explicit Duration Hidden Markov Model (EDHMM) is implemented to pr...

This paper proposes an unsupervised, batch-type, class-based language model adaptation method for spontaneous speech recognition. The word classes are automatically determined by maximizing the average mutual information between the classes using a training set. A class-based language model is built based on recognition hypotheses obtained using a general word-based language model, and linearly...

This paper proposes an unsupervised, batch-type, class-based language model adaptation method for spontaneous speech recognition. The word classes are automatically determined by maximizing the average mutual information between the classes using a training set. A class-based language model is built based on recognition hypotheses obtained using a general word-based language model, and linearly...

Whole-book recognition, a technique that improves recognition of book-images using fully automatic mutual-entropybased model adaptation, has achieved character error rate as low as 1.9% on 50 pages of real book images in our previous publications. However, the linguistic model for word recognition was simple, assuming a uniform distribution on the words in the dictionary, so that the algorithm ...

 Background: According to previous studies, most of the speech recognition disorders in older adults are the results of deficits in audibility and auditory temporal resolution. In this paper, the effect of ageing on timecompressed speech and auditory temporal resolution by word recognition in continuous and interrupted noise was studied. Methods: A time-compressed speech test (TCST) w...

This paper deals with a hybrid word-subword recognition system for spoken term detection. The decoding is driven by a hybrid recognition network and the decoder directly produces hybrid word-subword lattices. One phone and two multigram models were tested to represent sub-word units. The systems were evaluated in terms of spoken term detection accuracy and the size of index. We concluded that t...

Behrmann and Plaut recently proposed a ‘many-to-many’ model of visual recognition [1]. According to the model, visual recognition is carried out by a distributed network of cortical mechanisms that are not specialized for particular categories, but rather are involved to some extent in processing many categories. As primary support for the model, Behrmann and Plaut claim that, whereas face reco...