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1
Subword-based approaches for spoken document retrieval
In: Speech communication. - Amsterdam [u.a.] : Elsevier 32 (2000) 3, 157-186
OLC Linguistik
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2
Subword-based approaches for spoken document retrieval
In: Speech communication. - Amsterdam [u.a.] : Elsevier 32 (2000) 3, 157-186
BLLDB
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3
Segment-based automatic language identification
In: Acoustical Society of America. The journal of the Acoustical Society of America. - Melville, NY : AIP 101 (1997) 4, 2323-2331
BLLDB
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4
Phonological Parsing for Bi-directional Letter-to-Sound/Sound-to-Letter Generation
In: DTIC (1994)
BASE
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5
TIMIT Acoustic-Phonetic Continuous Speech Corpus
Garofolo, John S.; Lamel, Lori; Fisher, William. - Philadelphia, PA : Linguistic Data Consortium, 1993
MPI für Psycholinguistik
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6
From signals to symbols to meaning (incl. report on the paper) : on machine understanding of spoken language
In: ICPhS <12, 1991, Aix-en-Provence>. Proceedings of the XIIth International Congress of Phonetic Sciences ; 1. Plenary and semi-plenary sessions. - Aix-en-Provence : Univ. de Provence, Service de Publ. (1991), 74-86
BLLDB
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7
Collection of Spontaneous Speech for the ATIS Domain and Comparative Analyses of Data Collected at MIT and TI
In: DTIC (1991)
BASE
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8
Signal Representation, Attribute Extraction and, the Use of Distinctive Features for Phonetic Classification
In: DTIC (1991)
BASE
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9
Interactive Problem Solving and Dialogue in the ATIS Domain
In: DTIC (1991)
BASE
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10
Knowledge-based approaches
Querre, M. (Mitarb.); Erman, Lee D. (Mitarb.); Lesser, Victor R. (Mitarb.)...
In: Readings in speech recognition. - San Mateo, Calif. : Kaufmann (1990), 197-262
BLLDB
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11
Speech Communication
Lane, Harlan L.; Holmberg, Eva B.; Ringo, Carol C.. - : Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), 1990
BASE
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12
Speech Communication
Sulter, Arend; Espy-Wilson, Carol Y.; Keyser, Samuel J.. - : Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), 1989
BASE
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13
Speech Database Development
In: DTIC AND NTIS (1988)
BASE
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14
Speech Recognition: Acoustic-Phonetic Knowledge Acquisition and Representation
In: DTIC AND NTIS (1988)
Abstract: The long-term research goal is to develop and implement speaker- independent continuous speech recognition systems. It is believed that the proper utilization of speech-specific knowledge is essential for such advanced systems. This research is thus directed toward the acquisition, quantification, and representation, of acoustic-phonetic and lexical knowledge, and the application of this knowledge to speech recognition algorithms. In addition, we are exploring new speech recognition alternatives based on artificial intelligence and connectionist techniques. We developed a statistical model for predicting the acoustic realization of stop consonants in various positions in the syllable template. A unification-based grammatical formalism was developed for incorporating this model into the lexical access algorithm. We provided an information-theoretic justification for the hierarchical structure of the syllable template. We analyzed segmented duration for vowels and fricatives in continuous speech. Based on contextual information, we developed durational models for vowels and fricatives that account for over 70% of the variance, using data from multiple, unknown speakers. We rigorously evaluated the ability of human spectrogram readers to identify stop consonants spoken by many talkers and in a variety of phonetic contexts. Incorporating the declarative knowledge used by the readers, we developed a knowledge-based system for stop identification. We achieved comparable system performance to that of the readers. We developed a technique for phonetic classification using artificial neural nets (ANN). Vowel classification accuracy was achieved, ranging from 66 to 100% under varying experimental conditions.
Keyword: *ACOUSTIC DATA; *ACOUSTIC RECORDING SYSTEMS; *ALGORITHMS; *SPEECH RECOGNITION; ACCESS; ACCURACY; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; DATA ACQUISITION; HIERARCHIES; HUMANS; KNOWLEDGE ACQUISITION; KNOWLEDGE REPRESENTATION; LANGUAGE; LEXICOGRAPHY; LONG RANGE(TIME); MATHEMATICAL MODELS; NEURAL NETS; PHONETICS; SEGMENTED; SPEECH; STATISTICAL ANALYSIS; SYLLABLES; TEMPLATES; TIME; Voice Communications; VOWELS; WUNR049542
URL: http://www.dtic.mil/docs/citations/ADA203081
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA203081
BASE
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15
Speech Communication
Stevens, Kenneth N.; Allen, Jonathan; Halle, Morris. - : Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), 1987
BASE
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16
Speech Communication
Stevens, Kenneth N.; Allen, Jonathan; Halle, Morris. - : Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), 1987
BASE
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17
Speech Recognition: Acoustic-Phonetic Knowledge Acquisition and Representation.
In: DTIC AND NTIS (1987)
BASE
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18
Speech Recognition: Acoustic-Phonetic Knowledge Acquisition and Representation.
In: DTIC AND NTIS (1987)
BASE
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19
Performing fine phonetic distinctions : templates versus features
In: Invariance and variability in speech processes. - Hillsdale, N.J. [u.a.] : Erlbaum Assoc. (1986), 325-345
BLLDB
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20
Speech Communication
Stevens, Kenneth N.; Klatt, Dennis H.; Perkell, Joseph S.. - : Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), 1986
BASE
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