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1
From Word-Spotting to OOV Modeling
In: DTIC AND NTIS (2001)
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Isolated Speech Recognition Using Artificial Neural Networks
In: DTIC (2001)
Abstract: In this project Artificial Neural Networks are used as research tool to accomplish Automated Speech Recognition of normal speech. A small size vocabulary containing the words YES and NO is chosen. Spectral features using cepstral analysis are extracted per frame and imported to a feedforward neural network which uses a backpropagation with momentum training algorithm. The network is trained to recognize and classify the incoming words into the respective categories. The output from the neural network is loaded into a pattern search function, which matches the input sequence with a set of target word patterns. The level of variability in input speech patterns limits the vocabulary and affects the reliability of the network. The results from the first stage of this work are satisfactory and thus the application of artificial neural networks in conjunction with cepstral analysis in isolated word recognition holds promise. ; Papers from the 23rd Annual International Conference of the IEEE ENgineering in Medicine and Biology Society, October 25-28, 2001, held in Istanbul, Turkey. See also ADM001351 for entire conference on cd-rom., The original document contains color images.
Keyword: *CEPSTRUM TECHNIQUE; *NEURAL NETS; *PATTERN RECOGNITION; *SPEECH RECOGNITION; *WORD RECOGNITION; ALGORITHMS; AUTOMATION; BACKSCATTERING; Cybernetics; FUNCTIONS; INPUT; ISOLATION; SPECTRA; TRAINING; VARIATIONS; VOCABULARY; Voice Communications
URL: http://www.dtic.mil/docs/citations/ADA409964
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA409964
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3
Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks
In: DTIC (2000)
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4
Diphone-Based Speech Recognition Using Neural Networks.
In: DTIC AND NTIS (1996)
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5
A Robust Loose Coupling for Speech Recognition and Natural Understanding.
In: DTIC AND NTIS (1995)
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6
Segment-Based Acoustic Models for Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
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7
Robust Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
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8
Segment-Based Acoustic Models for Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
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9
High-Performance Speech Recognition Using Consistency Modeling.
In: DTIC AND NTIS (1994)
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10
Segment-Based Acoustic Models for Continuous Speech Recognition
In: DTIC AND NTIS (1994)
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11
Progressive-Search Algorithms for Large-Vocabulary Speech Recognition
In: DTIC (1993)
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12
Development of a Spoken Language System
In: DTIC AND NTIS (1990)
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13
Toward a Natural Speech Understanding System
In: DTIC AND NTIS (1989)
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14
F-16 Speaker-Independent Speech Recognition System Using Cockpit Commands (70 Words)
In: DTIC AND NTIS (1988)
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15
RSRE (Royal Signals and Radar Establishment) Speech Database Recordings (1983). Part 2. Recording Made for Automatics Speech Recognition Assessment and Research
In: DTIC AND NTIS (1984)
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16
Speaker Adaptation Test and Evaluation.
In: DTIC AND NTIS (1979)
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17
Speech Understanding Systems. Summary of Results of the Five-Year Research Effort at Carnegie-Mellon University
In: DTIC AND NTIS (1977)
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18
Word Hypothesization for Large-Vocabulary Speech Understanding Systems.
In: DTIC AND NTIS (1977)
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19
Speech Understanding Systems. Volume 3. Lexicon, Lexical Retrieval and Control
In: DTIC AND NTIS (1976)
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20
Speaker-Machine Interaction in Automatic Speech Recognition.
In: DTIC AND NTIS (1970)
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