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1
ASR performance prediction on unseen broadcast programs using convolutional neurol networks
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-01709779 ; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Alberta, Canada (2018)
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2
Modelling Semantic Context of OOV Words in Large Vocabulary Continuous Speech Recognition
In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-01461617 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2017, 25 (3), pp.598 - 610. ⟨10.1109/TASLP.2017.2651361⟩ (2017)
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3
Modélisation acoustico-phonétique de langues peu dotées : Études phonétiques et travaux de reconnaissance automatique en luxembourgois
In: Journées d'Etude sur la Parole ; https://hal.archives-ouvertes.fr/hal-01843399 ; Journées d'Etude sur la Parole, Jan 2014, Le Mans, France (2014)
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4
Speech Alignment and Recognition Experiments for Luxembourgish
In: Proceedings of the 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages ; https://hal.archives-ouvertes.fr/hal-01134824 ; 4th International Workshop on Spoken Language Technologies for Underresourced Languages, May 2014, Saint-Petersbourg, Russia. pp.53-60 ; http://www.mica.edu.vn/sltu2014/ (2014)
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5
Some issues affecting the transcription of hungarian broadcast audio
In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01843430 ; Annual Conference of the International Speech Communication Association , Aug 2013, Lyon, France (2013)
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6
Pronunciation modeling for large vocabulary speech recognition
Kantor, Arthur. - 2010
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7
Stochastic Language Adaptation over Time and State in Natural Spoken Dialogue Systems
In: http://www.research.att.com/projects/watson/nhmihy/papers/ieee2000.ps (2000)
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8
Lattice Compression in the Consensual Post-Processing Framework
In: http://nlp.cs.jhu.edu/~lidia/ISAS99.ps (2000)
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9
Towards Very Large Vocabulary Word Recognition
In: DTIC AND NTIS (1982)
Abstract: In this paper, preliminary considerations and some experimental results are presented in an effort to design Very Large Vocabulary Recognition (VLVR) systems. We will first consider the applicability of current recognition techniques and argue their inadequacy for VLVR. Possible alternate strategies will be explored and their potential usefulness statistically evaluated. Our results indicate that suprasegmental cues such as syllabification, stress patterns, rhythmic patterns, rhythmic patterns and the voiced - unvoiced patterns in the syllables of a word provide powerful mechanisms for search space reduction. Suprasegmental feature could thus operate in a complementary fashion to segmental features. ; Sponsored in part by Grant NSF-MCS78-25824. Sponsored in part by the DARPA.
Keyword: *SPEECH RECOGNITION; *SYSTEMS ANALYSIS; *VOCABULARY; *WORD RECOGNITION; DATA BASES; DICTIONARIES; HARPY SPEECH RECOGNITION SYSTEM; Information Science; Linguistics; METHODOLOGY; PATTERNS; PHONEMES; PHONETICS; REDUCTION; RHYTHM; SPECTROGRAM; SPECTROGRAPHS; SPEECH DATA BASE; SYLLABLES; VLVR(VERY LARGE VOCABULARY RECOGNITION); WORD ASSOCIATION; WORD RECOGNITION; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA125224
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA125224
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10
The automation of Directory Assistance Services
In: http://homepages.inf.ed.ac.uk/kgeorgil/papers/georgila_ijst02.pdf
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11
Efficient On-The-Fly Hypothesis Rescoring in a Hybrid GPU/CPU-based Large Vocabulary Continuous Speech Recognition Engine
In: http://www.cs.cmu.edu/~ianlane/publications/2012_Kim_Interspeech.pdf
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12
ON THE USE OF FRAME-LEVEL INFORMATION CUES FOR MINIMUM PHONE ERROR TRAINING OF ACOUSTIC MODELS
In: http://berlin.csie.ntnu.edu.tw/Berlin_Research/manuscripts/2006_ntnu_mpe_prior.pdf
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13
Issues in developing LVCSR System for Dravidian Languages: An exhaustive case study for Tamil
In: http://research.ijcaonline.org/volume70/number19/pxc3888180.pdf
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