Search Results - "Lennig, M."
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Putting speech recognition to work in the telephone network
Published in Computer (Long Beach, Calif.) (01-08-1990)“…The use of speaker-independent speech recognition in the development of Northern Telecom's automated alternate billing service (AABS) for collect calls,…”
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Phonemic hidden Markov models with continuous mixture output densities for large vocabulary word recognition
Published in IEEE transactions on signal processing (01-07-1991)“…The authors demonstrate the effectiveness of phonemic hidden Markov models with Gaussian mixture output densities (mixture HMMs) for speaker-dependent…”
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Modeling microsegments of stop consonants in a hidden markov model based word recognizer
Published in The Journal of the Acoustical Society of America (01-06-1990)“…The motivation of this study is the poor performance of speech recognizers on the stop consonants. To overcome this weakness, word initial and word final stop…”
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Modeling acoustic transitions in speech by state-interpolation hidden Markov models
Published in IEEE transactions on signal processing (01-02-1992)“…The authors present a new type of hidden Markov model (HMM) for vowel-to-consonant (VC) and consonant-to-vowel (CV) transitions based on the locus theory of…”
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Use of vowel duration information in a large vocabulary word recognizer
Published in The Journal of the Acoustical Society of America (01-08-1989)“…In this paper, a method is developed to employ vowel duration properties in a hidden Markov model (HMM)-based large vocabulary speaker trained recognition…”
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Fast search strategy in a large vocabulary word recognizer
Published in The Journal of the Acoustical Society of America (01-12-1988)“…In this article, a fast search algorithm is presented for generating word hypotheses for a 75 000-word vocabulary, speaker-trained, isolated word recognizer…”
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Speaker adaptation in a large-vocabulary Gaussian HMM recognizer
Published in IEEE transactions on pattern analysis and machine intelligence (01-09-1990)“…The problem of using a small amount of speech data to adapt a set of Gaussian HMMs (hidden Markov models) that have been trained on one speaker to recognize…”
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A new fast match for very large vocabulary continuous speech recognition
Published in 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing (1993)“…A novel fast match for very large vocabulary continuous speech recognition in which phonetic transcriptions are scored at a cost of one floating-point…”
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Conference Proceeding -
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A linear predictive HMM for vector-valued observations with applications to speech recognition
Published in IEEE transactions on acoustics, speech, and signal processing (01-02-1990)“…The authors describe a new type of Markov model developed to account for the correlations between successive frames of a speech signal. The idea is to treat…”
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Hybrid segmental-LVQ/HMM for large vocabulary speech recognition
Published in [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing (1992)“…The authors have assessed the possibility of modeling phone trajectories to accomplish speech recognition. This approach has been considered as one of the ways…”
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Conference Proceeding -
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Using phoneme duration and energy contour information to improve large vocabulary isolated-word recognition
Published in [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing (1991)“…Minimum duration constraints and energy thresholds for phonemes were used to increase the recognition accuracy of an 86000-word speaker-trained isolated word…”
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Conference Proceeding -
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A-admissible heuristics for rapid lexical access
Published in IEEE transactions on speech and audio processing (01-01-1993)“…A new class of A* algorithms for Viterbi phonetic decoding subject to lexical constraints is presented. This type of algorithm can be made to run substantially…”
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Automation of alternate billed calls using speech recognition
Published in IEEE communications magazine (01-01-1991)“…Alternate billed calls (collect, calling-card, bill-to-third-party), which represent close to 50% of the toll and assist traffic in North America, requiring…”
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Magazine Article -
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Directory assistance automation in Bell Canada: Trial results
Published in Speech communication (01-11-1995)“…Speech recognition was used to automate directory assistance in a 6-month trial with Bell Canada's public customers. The bilingual application gave the caller…”
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Journal Article Conference Proceeding -
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Experiments on speaker-independent recognition of hand-segmented French vowels
Published in ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing (1985)“…This paper addresses the problem of recognizing hand-segmented vowel phonemes in isolated words pronounced by different speakers. Overcoming variation in the…”
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Conference Proceeding -
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Language modeling for very-large-vocabulary speech recognition
Published in The Journal of the Acoustical Society of America (01-11-1989)“…Virtually all recognition systems, both research and commercial, place severe limits on the vocabulary and syntactic structures a speaker may use. This…”
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Intonation in text-to-speech synthesis: evaluation of algorithms
Published in The Journal of the Acoustical Society of America (01-01-1985)“…Two algorithms, termed schematic and naturalistic, for generating intonation contours in an English text-to-speech system are compared by eliciting preference…”
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Acoustic recognition component of an 86000-word speech recognizer
Published in International Conference on Acoustics, Speech, and Signal Processing (1990)“…Recent results obtained with a hidden Markov model (HMM)-based acoustic recognizer using a virtually unlimited vocabulary (86000 words) to perform…”
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Conference Proceeding -
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A locus model of coarticulation in an HMM speech recognizer
Published in International Conference on Acoustics, Speech, and Signal Processing (1989)“…A novel type of hidden Markov model (HMM) has been developed to account explicitly for the context-dependent vowel acoustic transitions in consonant-vowel and…”
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Conference Proceeding