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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 25 1 Transdisciplinary Analysis of a Corpus of French Newsreels: The ANTRACT Project Carrive, Jean; Beloued, Abdelkrim; Goetschel, Pascale... In: ISSN: 1938-4122 ; Digital Humanities Quarterly ; https://hal.archives-ouvertes.fr/hal-03166755 ; Digital Humanities Quarterly, Alliance of Digital Humanities, 2021, Special Issue on AudioVisual Data in DH, 15 (1) ; http://digitalhumanities.org/dhq/ (2021) BASE Show details 2 Dating Sanskrit texts using linguistic features and neural networks Hellwig, Oliver In: Indogermanische Forschungen. - Berlin : de Gruyter 124 (2019), 1-45 BLLDB Show details 3 Détection automatique d’une hiérarchie prosodique dans un corpus de parole journalistique Gendrot, Cédric; Gerdes, Kim; Adda-Decker, Martine In: Langue française, N 191, 3, 2016-09-15, pp.123-149 (2016) BASE Show details 4 ГРАММАТИКА ПОРЯДКОВ СЛОВОИЗМЕНИТЕЛЬНЫХ АФФИКСОВ ИМЕННЫХ ЧАСТЕЙ РЕЧИ В КАЛМЫЦКОМ ЯЗЫКЕ (НА ПРИМЕРЕ СЛОВОФОРМЫ СУЩЕСТВИТЕЛЬНОГО) КУКАНОВА В.В.. - : ФГБУН «Калмыцкий научный центр Российской академии наук», 2015 BASE Show details 5 Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment Hansen, John H In: DTIC (2015) BASE Show details 6 What's Wrong With Automatic Speech Recognition (ASR) and How Can We Fix It? Morgan, Nelson; Wegmann, Steven; Cohen, Jordan In: DTIC (2013) BASE Show details 7 Analyzing part-of-speech variability in a longitudinal learner corpus and a pedagogic corpus Vyatkina, Nina. - : Presses universitaires de Louvain, 2013 BASE Show details 8 Automatic Speech Recognition for ageing voices Vipperla, Ravichander. - : The University of Edinburgh, 2011 BASE Show details 9 The promise of NLP and speech processing technologies in language assessment Chung, Yoo-Ree; Chapelle, Carol In: Language testing. - London : Sage 27 (2010) 3, 301-315 BLLDB OLC Linguistik Show details 10 Дешифровка линейной структуры русского предложения. (Программа спецкурса для студентов-лингвистов) Кобзарева, Татьяна. - : Государственное образовательное учреждение высшего профессионального образования "Российский государственный гуманитарный университет", 2010 BASE Show details 11 Entropy Based Classifier Combination for Sentence Segmentation Magimai-Doss, M.; Hakkani-Tur, D.; Cetin, O.... In: DTIC (2007) BASE Show details 12 Proof of Concept: Iraqi Enrollment via Voice Authentication Project Lee, Samuel K. In: DTIC AND NTIS (2005) BASE Show details 13 Effects of Speech Recognition Accuracy on the Performance of DARPA Communicator Spoken Dialogue Systems Sanders, Gregory A.; Le, Audrey N. In: DTIC (2004) BASE Show details 14 German and multilingual speech synthesis Möbius, Bernd. - Stuttgart : Inst. für Maschinelle Sprachverarbeitung, 2001 BLLDB UB Frankfurt Linguistik Show details 15 Diphone-Based Speech Recognition Using Neural Networks. Cantrell, Mark E. In: DTIC AND NTIS (1996) BASE Show details 16 Detection and Correction of Repairs in Human-Computer Dialog Bear, John; Dowding, John; Shriberg, Elizabeth In: DTIC (1992) BASE Show details 17 Modeling and Classification of Acoustic Transients by Speech Recognition Techniques Woodard, Jeffrey P. In: DTIC AND NTIS (1989) BASE Show details 18 CLASS - A Study of methods for coarse phonetic classification Delmege, James. - 1988 BASE Show details 19 Parameters for Automatic Speaker Recognition over LPC (Linear Predictive-Coding) Systems. Everett,Stephanie S. In: DTIC AND NTIS (1986) Abstract: This investigation focused on the selection of acoustic parameters related to speaker identity for possible use in automatic speaker recognition systems designed to operate with speech processed through low data rate linear predictive-coding (LPC) voice communication systems. Parameters selected were: formant frequencies and bandwidths (based on both spectral and line-spectrum frequency analyses), average and standard deviation of pitch, spectral tilt, and averages of LPC reflection coefficients. Preliminary recognition results indicate that individually these parameters have potential; combinations of parameters should prove even more useful, particularly if less robust aspects of the measurements are eliminated from the recognition decision. Keywords include: Speaker recognition, Speech processing, Communication security, and Voice processing. Keyword: *COMMUNICATION AND RADIO SYSTEMS; *DECISION MAKING; *SPECTRUM ANALYSIS; *SPEECH RECOGNITION; ACOUSTIC PROPERTIES; AUTOMATIC; BANDWIDTH; COEFFICIENTS; FREQUENCY; PARAMETERS; PE61153N; PHONEMES; PITCH(MOTION); PROCESSING; RECOGNITION; REFLECTION; SPEECH; STANDARD DEVIATION; Voice Communications URL: http://www.dtic.mil/docs/citations/ADA176183 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA176183 BASE Hide details 20 Engineering Intelligibility Testing of Voice Communication Equipment In: DTIC AND NTIS (1981) BASE Show details Page: 1 2

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