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1
Second Language Learning Anxiety and Language Mindsets
In: Senior Honors Theses (2021)
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2
Modalitätsspezifische Effekte im linguistischen Multitasking ... : Modality-specific effects in linguistic multitasking ...
Schäffner, Simone. - : RWTH Aachen University, 2018
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3
Effects of Visually Enhanced Input, Input Processing and Pushed Output on Grammar Teaching
In: Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras, ISSN 1697-7467, Nº. 20, 2013, pags. 153-167 (2013)
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4
System-Call Based Problem Diagnosis for PVFS
In: DTIC (2009)
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5
SECOND LANGUAGE ACQUISITION AND LANGUAGE TEACHING
In: International Journal of English Studies; Vol. 4 No. 1 (2004): Latest developments in language teaching methodology; 197-219 ; International Journal of English Studies; Vol. 4 Núm. 1 (2004): Latest developments in language teaching methodology; 197-219 ; 1989-6131 ; 1578-7044 (2009)
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6
Ishizuka M.: Automatic generation of gaze and gestures for dialogues between embodied conversational agents
In: http://research.nii.ac.jp/%7Eprendinger/papers/werner-helmut-IJSC-08.pdf (2008)
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7
Input Processing in Second Language Acquisition: A Discussion of Four Input Processing Models
Sun, Yayun Anny. - 2008
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8
Input Processing in Second Language Acquisition: A Discussion of Four Input Processing Models ...
Sun, Yayun Anny. - : Columbia University, 2008
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9
Automatic summarization of voicemail messages using lexical and prosodic features
In: http://www-gth.die.upm.es/research/documentation/referencias/Koumpis_Automatic.pdf (2005)
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10
INTERPRETATION-BASED APPROACH TO GRAMMAR TEACHING: NEW DIRECTIONS IN THEORY AND PRACTICE
In: TEFLIN Journal, Vol 16, Iss 2, Pp 169-180 (2005) (2005)
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11
Making form-meaning connections while reading: A qualitative analysis of word processing
Rott, Susanne; Williams, Jessica. - : University of Hawaii National Foreign Language Resource Center, 2003. : Center for Language & Technology, 2003
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12
Experimental Comparisons of Data Entry by Automatic Speech Recognition, Keyboard, and Mouse
In: DTIC AND NTIS (2001)
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13
Text-Dependent Speaker Identification Based on Input/Output HMMs: An Empirical Study
In: http://www.cis.ohio-state.edu/~kchen/npl96.ps.gz (1996)
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14
Korean Language Generation in an Interlingua-Based Speech Translation System.
In: DTIC AND NTIS (1996)
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15
Evolving Fuzzy Logic Control Strategies using SAMUEL: An Initial Implementation.
In: DTIC AND NTIS (1996)
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16
Video Browsing Using Cooperative Visual and Linguistic Indices.
In: DTIC AND NTIS (1996)
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17
Diphone-Based Speech Recognition Using Neural Networks.
In: DTIC AND NTIS (1996)
Abstract: Speaker-independent automatic speech recognition (ASR) is a problem of long-standing interest to the Department of Defense. Unfortunately, existing systems are still too limited in capability for many military purposes. Most large-vocabulary systems use phonemes (individual speech sounds, including vowels and consonants) as recognition units. This research explores the use of diphones (pairings of phonemes) as recognition units. Diphones are acoustically easier to recognize because coarticulation effects between the diphones's phonemes become recognition features, rather than confounding variables as in phoneme recognition. Also, diphones carry more information than phonemes, giving the lexical analyzer two chances to detect every phoneme in the word. Research results confirm these theoretical advantages. In testing with 4490 speech samples from 163 speakers, 70.2% of 157 test diphones were correctly identified by one trained neural network. In the same tests, the correct diphone was one of the top three outputs 89.0% of the time. During word recognition tests, the correct word was detected 85% of the time in continuous speech. Of those detections, the correct diphone was ranked first 41.6% of the time and among the top six 74% of the time. In addition, new methods of pitch-based frequency normalization and network feedback-based time alignment are introduced. Both of these techniques improved recognition accuracy on male and female speech samples from all eight dialect regions in the U.S. In one test set, frequency normalization reduced errors by 34%. Similarly, feedback-based time alignment reduced another network's test set errors from 32.8% to 11.0%.
Keyword: *NEURAL NETS; *SPEECH RECOGNITION; ACCURACY; ACOUSTIC DATA; ACOUSTIC SIGNALS; Acoustics; ALGORITHMS; AUTOMATIC SPEECH RECOGNITION; C4I(COMMAND CONTROL COMMUNICATIONS COMPUTERS AND INTELLIGENCE); Command; COMMAND CONTROL COMMUNICATIONS; COMPUTER PROGRAM DOCUMENTATION; Control and Communications Systems; Cybernetics; DATA BASES; DEPARTMENT OF DEFENSE; ERROR CORRECTION CODES; INPUT OUTPUT PROCESSING; LEXICOGRAPHY; MILITARY APPLICATIONS; NORMAL DISTRIBUTION; PATTERN RECOGNITION; PHONEMES; SIGNAL PROCESSING; SOUND PITCH; SPEECH ANALYSIS; SPEECH ARTICULATION; SPEECH TRANSMISSION; SYSTEMS ANALYSIS; THESES; VOCABULARY; Voice Communications; WORD RECOGNITION; WORDS(LANGUAGE)
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA313872
http://www.dtic.mil/docs/citations/ADA313872
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18
Dialogue Theory for Virtual Environments.
In: DTIC AND NTIS (1995)
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19
The Unsupervised Acquisition of a Lexicon from Continuous Speech.
In: DTIC AND NTIS (1995)
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20
Language Identification Through Parallel Phone Recognition.
In: DTIC AND NTIS (1995)
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