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41
A Wavelet Model for Vocalic Speech Coarticulation
In: DTIC AND NTIS (1994)
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42
High-Performance Speech Recognition Using Consistency Modeling.
In: DTIC AND NTIS (1994)
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43
Signal- and Listener-Based Factors in Complex Auditory Pattern Perception
In: DTIC AND NTIS (1993)
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44
Application of a Back-Propagation Neural Network to Isolated-Word Speech Recognition
In: DTIC AND NTIS (1993)
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45
The Use of Distinctive Features for Automatic Speech Recognition
In: DTIC AND NTIS (1991)
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46
Massively Parallel Network Architectures for Automatic Recognition of Visual Speech Signals
In: DTIC AND NTIS (1990)
Abstract: This research sought to produce a massively-parallel network architecture that could interpret speech signals from video recordings of human talkers. This report summarizes the project's results: (1) A corpus of video recordings from two human speakers was analyzed with image processing techniques ans used as the data for this study; (2) We demonstrated that a feedforward network could be trained to categorize vowels from these talkers. The performance was comparable to that of the nearest neighbors techniques and to trained humans on the same data; (3) We developed a novel approach to sensory fusion by training a network to transform from facial images to short-time spectral amplitude envelopes. This information can be used to increase the signal-to-noise ratio and hence the performance of acoustic speech recognition systems in noisy environments; (4) We explored the use of recurrent networks to perform the same mapping for continuous speech. Results of this project demonstrate the feasibility of adding a visual speech recognition component to enhance existing speech recognition systems. Such a combined system could be used in noisy environments, such as cockpits, where improved communication is needed. This demonstration of presymbolic fusion of visual and acoustic speech signals is consistent with our current understanding of human speech perception.
Keyword: *IMAGE PROCESSING; *SPEECH RECOGNITION; *VIDEO SIGNALS; ACOUSTIC SIGNALS; AUGMENTATION; AUTOMATIC; CLASSIFICATION; Cybernetics; INFORMATION PROCESSING; NEURAL NETS; PARALLEL PROCESSING; PATTERN RECOGNITION; PE61102F; SPEECH; VIDEO RECORDING; Voice Communications; VOWELS; WUAFOSR2305B3
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA226968
http://www.dtic.mil/docs/citations/ADA226968
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47
Acoustic Classification with Neural Networks
In: DTIC AND NTIS (1990)
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48
Removal of Noise from Noise-Degraded Speech Signals. Panel on Removal of Noise from a Speech/Noise Signal
In: DTIC AND NTIS (1989)
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49
Finding Acoustic Regularities in Speech: Applications to Phonetic Recognition
In: DTIC AND NTIS (1988)
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50
Finding Acoustic Regularities in Speech: Applications to Phonetic Recognition.
In: DTIC AND NTIS (1988)
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51
Speech Recognition: Acoustic-Phonetic Knowledge Acquisition and Representation.
In: DTIC AND NTIS (1987)
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52
Time-Frequency Representations for Speech Signals.
In: DTIC AND NTIS (1987)
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53
Speech Recognition: Acoustic, Phonetic and Lexical
In: DTIC AND NTIS (1985)
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54
Speech Recognition: Acoustic, Phonetic and Lexical Knowledge
In: DTIC AND NTIS (1985)
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55
Perception of Acoustic Transients.
In: DTIC AND NTIS (1984)
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56
Processing Speech for Analysis Using Optical Fourier Techniques.
In: DTIC AND NTIS (1984)
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57
Sensitivity Based Segmentation and Identification in Automatic Speech Recognition.
In: DTIC AND NTIS (1984)
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58
Auditory Induction of Discrete Tones in Signal Detection Tasks.
In: DTIC AND NTIS (1983)
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59
Status Report on Speech Research, 1 April-30 June 1981.
In: DTIC AND NTIS (1981)
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60
Symposium on the Recognition and Classification of Aural (Non-Speech) Signals Held at Cambridge, Massachusetts on 28-30 June 1978.
In: DTIC AND NTIS (1980)
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