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Simple Search
Hits 1 – 12 of 12
1
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data ...
Wang, Chengyi
;
Wu, Yu
;
Qian, Yao
. - : arXiv, 2021
BASE
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2
Mixed-Lingual Pre-training for Cross-lingual Summarization ...
Xu, Ruochen
;
Zhu, Chenguang
;
Shi, Yu
. - : arXiv, 2020
BASE
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3
An overview of modern speech recognition
Huang, Xuedong
;
Deng, Li
In:
Handbook of natural language processing
(Boca Raton, Fla., 2010), p. 339-366
MPI für Psycholinguistik
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4
Spoken language processing : a guide to theory, algorithm, and system development
Hon, Hsiao-Wuen
;
Acero, Alex
;
Huang, Xuedong
. - Upper Saddle River, N. J. : Prentice Hall, 2001
BLLDB
UB Frankfurt Linguistik
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5
Can continuous speech recognizers handle isolated speech?
Alleva, Fil
;
Huang, Xuedong
;
Hwang, Mei-Yuh
...
In:
Speech communication. - Amsterdam [u.a.] : Elsevier
26 (1998) 3, 183-190
OLC Linguistik
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6
Can continuous speech recognizers handle isolated speech?
Alleva, Fil
;
Huang, Xuedong
;
Hwang, Mei-Yuh
...
In:
Speech communication. - Amsterdam [u.a.] : Elsevier
26 (1998) 3, 183-189
BLLDB
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7
Automatic speech and speaker recognition : advanced topics
Gopalakrishnan, P.S.
(Mitarb.);
Alleva, Fileno A.
(Mitarb.);
Lee, Chin-Hui
(Hrsg.). - Boston [u.a.] : Kluwer, 1996
BLLDB
UB Frankfurt Linguistik
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8
The SPHINX-II speech recognition system : an overview
Huang, Xuedong
;
Alleva, Fileno A.
;
Hon, Hsiao-Wuen
...
In:
Computer speech and language. - Amsterdam [u.a.] : Elsevier
7 (1993) 2, 137-148
BLLDB
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9
An Overview of the SPHINX-II Speech Recognition System
Huang, Xuedong
;
Alleva, Fileno
;
Hwang, Mei-Yuh
;
Rosenfeld, Ronald
In: DTIC (1993)
Abstract:
ABSTRACT In the past year at Carnegie Mellon steady progress has been made in the area of acoustic and language modeling. The result has been a dramatic reduction in speech recognition errors in the SPHINX-II system. In this paper, we review SPHINX-I/and summarize our recent efforts on improved speech recognition. Recently SPHINX-I/ achieved the lowest error rate in the November 1992 DARPA evaluations. For 5000-word, speaker-independent, continuous, speech recognition, the error rate was reduced to 5%.
Keyword:
*ERRORS
;
*LANGUAGE
;
*SPEECH RECOGNITION
;
ACOUSTIC COMMUNICATIONS
;
ACOUSTICS
;
FEMALES
;
Linguistics
;
MALES
;
MODELS
;
RATES
;
SIZES(DIMENSIONS)
;
SPEECH
;
VOCABULARY
;
Voice Communications
URL:
http://www.dtic.mil/docs/citations/ADA458658
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458658
BASE
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10
Minimizing Speaker Variation Effects for Speaker-Independent Speech Recognition
Huang, Xuedong
In: DTIC (1992)
BASE
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11
Speech recognition
Lee, Kai-Fu
(Mitarb.);
Hon, Hsiao-Wuen
(Mitarb.);
Hwang, Mei-Yuh
(Mitarb.)...
In:
Speech communication. - Amsterdam [u.a.] : Elsevier
9 (1990) 5-6, 497-564
BLLDB
Show details
12
Hidden Markov models for speech recognition
Huang, Xuedong
;
Ariki, Yasuo
;
Jack, Mervyn A.
. - Edinburgh : Edinburgh Univ. Press, 1990
UB Frankfurt Linguistik
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