Система распознавания речи

material ID: speechrecognitionsystem

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Lexical Functional Grammar in Speech Recognition

Authors: nan

Publication: TIPSTER (1988)

DOI: nan

~he syntax component of the speech recognition system IKAROS t is described, clhe usefidness of a probabilistic Le~jcal Functional Grammar both for cow,straining bottom-up hypotheses and top-down predicting is showtL …...

2281

SRI’s DECIPHER System

Authors: nan

Publication: TIPSTER (1989)

DOI: nan

SRI has developed a speaker-independent con- tinuous speech, large vocabulary speech recogni- tion system, DECIPHER, that provides state-of-the- art performance on the DARPA standard speaker- independent resource management training and …...

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Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models

Authors: nan

Publication: TIPSTER (1991)

DOI: nan

An investigation into the use of Bayesian learning of the parame- ters of a multivariate Gaassian mixture density has been carried out. In a continuous density hidden Markov model (CDHMM) …...

7331

Speech Recognition Using a Stochastic Language Model Integrating Local and Global Constraints

Authors: nan

Publication: TIPSTER (1994)

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In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedlanguagemodel uses the dependencies within adjacent …...

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Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology

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This paper presents an algorithm for learn- ing the probabilities of optional phonolog- ical rules from corpora. The algorithm is based on using a speech recognition sys- tem to discover …...

35692

Analysis and Detection of Reading Miscues for Interactive Literacy Tutors

Authors: nan

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The Colorado Literacy Tutor (CLT) is a technology-based literacy program, designed on the basis of cognitive theory and scientifically motivated reading research, which aims to improve literacy and student achievement …...

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Automatic Detection of Well Recognized Words in Automatic Speech Transcriptions

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AbstractThis work adresses the use of confidence measures for extracting well recognized words with very low error rate from automatically transcribed segments in a unsupervised way. We present and compare …...

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Revising the annotation of a Broadcast News corpus: a linguistic approach

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AbstractThis paper presents a linguistic revision process of a speech corpus of Portuguese broadcast news focusing on metadata annotation for rich transcription, and reports on the impact of the new …...

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Speech Corpus Spoken by Young-old, Old-old and Oldest-old Japanese

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Publication: TIPSTER (2016)

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AbstractWe have constructed a new speech data corpus, using the utterances of 100 elderly Japanese people, to improve speech recognition accuracy of the speech of older people. Humanoid robots are …...

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The IOIT English ASR system for IWSLT 2016

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AbstractThis paper describes the speech recognition system of IOIT for IWSLT 2016. Four single DNN-based systems were developed to produce the 1st-pass lattices for the test sets using a baseline …...

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Towards Improving Low-Resource Speech Recognition Using Articulatory and Language Features

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AbstractIn an increasingly globalized world, there is a rising demand for speech recognition systems. Systems for languages like English, German or French do achieve a decent performance, but there exists …...

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