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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Multimedia event detection using a classifier-specific intermediate representation Ma, Zhigang; Yang, Yi; Sebe, Nicu. - : Institute of Electrical and Electronics Engineers, 2013 BASE Show details 2 A review of text and image retrieval approaches for broadcast news video Yan, Rong; Hauptmann, Alexander G. In: Information Retrieval Journal. - Dordrecht [u.a.] : Springer Science + Business Media B.V. 10 (2007) 4-5, 445-484 BLLDB Show details 3 Text- and speech triggered information access : Chios Island, Greece, July 15 - 30, 2000 ; revised lectures Renals, Steve (Hrsg.); Jin, Rong (Mitarb.); Hauptmann, Alexander G. (Mitarb.). - Berlin [u.a.] : Springer, 2003 BLLDB UB Frankfurt Linguistik Show details 4 Learning to Identify TV News Monologues by Style and Context Snoek, Cees G.; Hauptmann, Alexander G. In: DTIC (2003) BASE Show details 5 Improving Acoustic Models by Watching Television Witbrock, Michael J.; Hauptmann, Alexander G. In: DTIC AND NTIS (1998) Abstract: Obtaining sufficient labelled training data is a persistent difficulty for speech recognition research. Although well transcribed data is expensive to produce, there is a constant stream of challenging speech data and poor transcription broadcast as closed-captioned television. We describe a reliable unsupervised method for identifying accurately transcribed sections of these broadcasts, and show how these segments can be used to train a recognition system. Starting from acoustic models trained on the Wall Street Journal database, a single iteration of our training method reduced the word error rate on an independent broadcast television news test set from 62.2% to 59.5%. ; Prepared in collaboration with Justsystem Pittsburgh Research Center, Pittsburgh, PA. Presented at AAAI Spring Symposium, Palo Alto, CA, Mar 97. Keyword: *ACOUSTIC MODELS; *SPEECH RECOGNITION; *TEXT PROCESSING; CLOSED CAPTION DATA; Cybernetics; DATA BASES; DIGITAL LIBRARIES; LEARNING MACHINES; Linguistics; PATTERN RECOGNITION; SPEECH ANALYSIS; TELEVISION SYSTEMS; Voice Communications; WORD RECOGNITION; WORDS(LANGUAGE) URL: http://www.dtic.mil/docs/citations/ADA350494 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA350494 BASE Hide details 6 Meaning from structure in natural language processing Hauptmann, Alexander G.. - Ann Arbor : UMI, 1993 IDS Mannheim Show details 7 Language processing for speech recognition Waibel, Alexander H. (Mitarb.); Young, Sheryl R. (Mitarb.); Hauptmann, Alexander G. (Mitarb.)... In: Readings in speech recognition. - San Mateo, Calif. : Kaufmann (1990), 447-549 BLLDB Show details

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