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Evaluation of Communication During Active Sonar Transmissions with a Speech-Recognition Model
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In: DTIC AND NTIS (1993)
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22 |
Word and Subword Modelling in a Segment-Based HMM Word Spotter Using a Data Analytic Approach
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In: DTIC AND NTIS (1992)
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23 |
The Use of Distinctive Features for Automatic Speech Recognition
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In: DTIC AND NTIS (1991)
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24 |
Signal Representation, Attribute Extraction and, the Use of Distinctive Features for Phonetic Classification
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In: DTIC (1991)
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25 |
Unlimited Vocabulary Synthesis Using Line Spectrum Pairs
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In: DTIC AND NTIS (1991)
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26 |
Rule Based Sinusoidal Encoding of Speech
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In: DTIC AND NTIS (1990)
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27 |
Acoustic Characteristics of Sentences Produced in Noise
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In: DTIC AND NTIS (1989)
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28 |
Vocabulary Synthesis Based on Line Spectrum Pairs
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In: DTIC AND NTIS (1989)
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29 |
Phoneme Adjustment in Enhanced Speech
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In: DTIC AND NTIS (1989)
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30 |
Operational Intelligence and the U.S. Army: Much ado About Nothing or Misunderstood Excellence? A Prescription for the 1990's and Beyond
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In: DTIC AND NTIS (1989)
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31 |
Modeling and Classification of Acoustic Transients by Speech Recognition Techniques
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In: DTIC AND NTIS (1989)
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32 |
Speaker Adaptation Using Multiple Reference Speakers
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In: DTIC (1989)
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33 |
An Overview of Technology for Spoken Interaction with Machines (Une Introduction a la Communication Vocale avec les Machines).
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In: DTIC AND NTIS (1988)
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34 |
Time-Frequency Representations for Speech Signals.
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In: DTIC AND NTIS (1987)
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Abstract:
This work addresses two related questions. The first question is what joint time-frequency energy representations are most appropriate for auditory signals, in particular, for speech signals in sonorant regions. The quadratic transf for the representation: (1) shift-invariance, (2) positivity, (3) superposition, (4) locality, and (5) smoothness. The second question addressed is how to obtain a rich, symbolic description of the phonetically relevant features om these time-frequency energy surfaces, the so-called schematic spectrogram Time-frequency ridges, the 2-D analog of spectral peaks, are one feature that is proposed. If non-oriented kernels are used for the energy representation, then the ridge tops can be identified with zero-crossings in the inner project of the gradient vector and the direction of greatest downward curvature. If oriented kernels are used, the method can be generalized to give better orientation selectivity (e.g., intersecting ridges) at the cost of poorer time-frequency locality.
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Keyword:
*AUDITORY SIGNALS; *SIGNAL PROCESSING; *SPEECH ANALYSIS; Acoustic spectra; ARTIFICIAL INTELLIGENCE; Consonant vowel transitions; Consonants; COSTS; CURVATURE; Cybernetics; DYNAMICS; ENERGY; FEMALES; FREQUENCY; KERNEL FUNCTIONS; Nasalized vowels; Nonstationary signal processing; PHONETICS; RIDGES; SCHEMATIC DIAGRAMS; SIGNALS; SPECTRA; SPECTROGRAPHY; SPEECH; SURFACES; THESES; TIME; Time frequency representations; TRANSFORMATIONS(MATHEMATICS); TRANSITIONS; TWO DIMENSIONAL; Voice Communications; VOWELS; Wigner distributions
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URL: http://www.dtic.mil/docs/citations/ADA188661 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA188661
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35 |
Auditory-Acoustic Basis of Consonant Perception.
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In: DTIC AND NTIS (1987)
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36 |
Voice Degradation in Using Speech Recognisers for Transcribing Inventory Data.
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In: DTIC AND NTIS (1987)
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37 |
A Software Life Cycle Support Environment
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In: DTIC AND NTIS (1987)
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38 |
Intelligence/Electronic Warfare (IEW) Direction Finding and Fix Estimation Analysis Report. Volume 3. Guardrail
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In: DTIC AND NTIS (1986)
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39 |
Multi-User Real-Time Speech Processing Facility.
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In: DTIC AND NTIS (1985)
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Application of Some New Artificial Neural System Processing Principles to Pattern Classification.
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In: DTIC AND NTIS (1985)
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