Session 3: Continuous Speech Recognition
نویسنده
چکیده
The papers in this session focus on techniques for and applications of large-vocabulary continuous speech recognition. The technique oriented papers discuss techniques for channel compensation, fast search, acoustic modeling, and adaptive language modeling. The applications oriented papers discuss methods for using recognizers for language identification, speaker identification, speakersex identification, and keyword spotting.
منابع مشابه
Speaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
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Context-dependent modeling is a widely used technique for better phone modeling in continuous speech recognition. While different types of context-dependent models have been used, triphones have been known as the most effective ones. In this paper, a Maximum a Posteriori (MAP) estimation approach has been used to estimate the parameters of the untied triphone model set used in data-driven clust...
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This session presented a number of interesting papers on a wide range of topics concerning speech recognition: two papers on noise robust signal processing algorithms, one paper on approaches to large vocabulary continuous speech recognition, two papers on algorithms for reducing computation time, one paper on adding new words to the vocabulary, and one paper on theoretical issues concerning vo...
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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...
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