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1
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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2
The role of phoneticians in speech technology
In: European studies in phonetics and speech communication (Utrecht, 1995), p. 170-178
MPI für Psycholinguistik
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3
Signal Processing for Robust Speech Recognition
In: DTIC (1994)
BASE
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4
Multiple Approaches to Robust Speech Recognition
In: DTIC (1992)
Abstract: This paper compares several different approaches to robust speech recognition. We review CMU's ongoing research in the use of acoustical pre-processing to achieve robust speech recognition, and we present the results of the first evaluation of pre- processing in the context of the DARPA standard ATIS domain for spoken language systems. We also describe and compare the effectiveness of three complementary methods of signal processing for robust speech recognition: acoustical pre-processing, microphone array processing, and the use of physiologically- motivated models of peripheral signal processing. Recognition error rates are presented using these three approaches in isolation and in combination with each other for the speaker-independent continuous alphanumeric census speech recognition task.
Keyword: *LANGUAGE; *SIGNAL PROCESSING; *SPEECH RECOGNITION; *TELEPHONE SYSTEMS; ACOUSTICS; ARRAYS; ENVIRONMENTS; ERRORS; FLOORS; GAGES; INDUSTRIAL PLANTS; ISOLATION; Linguistics; MICROPHONES; PASSENGER VEHICLES; PROCESSING; QUIET; RATES; VARIATIONS; Voice Communications
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458653
http://www.dtic.mil/docs/citations/ADA458653
BASE
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5
Towards Environment-Independent Spoken Language Systems
In: DTIC (1990)
BASE
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