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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 Mandarin-English Information (MEI): investigating translingual speech retrieval Meng, Helen M.; Chen, Berlin; Khudanpur, Sanjeev... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 18 (2004) 2, 163-180 OLC Linguistik Show details 2 Multi-Scale Spoken Document Retrieval for Cantonese Broadcast News Lo, Wai-Kit; Meng, Helen M.; Ching, P.C. In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 7 (2004) 2-3, 203-220 OLC Linguistik Show details 3 Initial Development Towards a Trilingual Speech Interface for Financial Information Inquiries Meng, Helen M. In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 3 (1999) 2, 83-92 OLC Linguistik Show details 4 Phonological parsing for bi-directional letter-to-sound/sound-to-letter generation Meng, Helen M. - : Massachusetts Institute of Technology, 1995 BASE Show details 5 Phonological Parsing for Bi-directional Letter-to-Sound/Sound-to-Letter Generation Meng, Helen M.; Seneff, Stephanie; Zue, Victor W. In: DTIC (1994) BASE Show details 6 The Use of Distinctive Features for Automatic Speech Recognition Meng, Helen M. In: DTIC AND NTIS (1991) Abstract: One of the most critical and yet unsolved problems in phonetic recognition is the transformation of the continuous speech signal to a discrete representation for accessing words in the lexicon. In order to find an efficient description of speech for recognition tasks, our research investigates the use of distinctive features. Distinctive features are a small set of linguistic units which have the potential advantage of enabling us to describe contextual and coarticulatory variations in speech more parsimoniously and thus make more effective use of available training data. To access the usefulness of distinctive features, we focus our inquiry on three questions. First is there a particular spectral representation that will yield superior performance over others? Second, how would the extraction and use of acoustic attributes affect classification performance when compared to the direct use of the spectral representation? Finally, are there performance advantages in introducing an intermediate linguistic representation between the signal and the lexicon? Keyword: *ACOUSTIC COMMUNICATIONS; *CYBERNETICS; *PHONETICS; *SPEECH RECOGNITION; Acoustics; AUTOMATIC; CLASSIFICATION; Cybernetics; EFFICIENCY; LEXICOGRAPHY; Linguistics; SIGNALS; SPECTRA; THESES; TRAINING; VOCABULARY; Voice Communications; YIELD URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA242425 http://www.dtic.mil/docs/citations/ADA242425 BASE Hide details 7 Signal Representation, Attribute Extraction and, the Use of Distinctive Features for Phonetic Classification Meng, Helen M.; Zue, Victor W.; Leung, Hong C. In: DTIC (1991) BASE Show details

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