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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 32 1 Improving the Capacity of Language Recognition Systems to Handle Rare Languages Using Radio Broadcast Data Burget, Lukas In: DTIC (2011) BASE Show details 2 Phonologically-Based Biomarkers for Major Depressive Disorder Trevino, Andrea C; Quatieri, Thomas F; Malyska, Nicolas In: DTIC (2011) BASE Show details 3 Use of Text Messaging by Navy Recruiters Uriell, Zannette A.; Clewis, Evangeline M. In: DTIC (2009) BASE Show details 4 Conversation thread extraction and topic detection in text-based chat Adams, Paige Holland.. - : Monterey, California. Naval Postgraduate School, 2008 BASE Show details 5 Mobile Text Messaging and Connectedness within Close Interpersonal Relationships ... Pettigrew, Jonathan Lyn. - : IUPUI University Library, 2007 BASE Show details 6 Mobile Text Messaging and Connectedness within Close Interpersonal Relationships Pettigrew, Jonathan Lyn. - 2007 BASE Show details 7 Everyday Heroes: Summer Adventures ; Siempre Héroes: Aventuras del Verano Black, Jake; Huddleston, Courtney. - : Texas. Commission on State Emergency Communications., 2007 BASE Show details 8 Application of shifted delta cepstral features for GMM language identification Lareau, Jonathan. - 2006 BASE Show details 9 Impact of Culture on Breast Cancer Screening in Chinese American Women Wang, Judy H. In: DTIC (2005) BASE Show details 10 Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004 Martin, Alvin; Miller, David; Przybocki, Mark... In: DTIC (2004) BASE Show details 11 Dialogue Management for an Automated Multilingual Call Center Hardy, Hilda; Strzalkowski, Tomek; Wu, Min In: DTIC (2003) BASE Show details 12 Danish Gallup Omnibus Data 1986, Omnibus no. 16 ... : Danish Gallup Omnibus Data 1986, Omnibus no. 16 ... Gallup, TNS. - : Danish Data Archive, 2001 BASE Show details 13 Integration of dialogue moves and speech recognition in a telephone scenario Quesada Moreno, José Francisco; Amores Carredano, José Gabriel de; Ballesteros Bono, Rafael. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2001 BASE Show details 14 Jupiter: A Telephone-Based Conversational Interface for Weather Information Victor Zue; Stephanie Seneff; James Glass... In: http://www.sls.lcs.mit.edu/sls/publications/2000/IEEE-jupiter.ps.gz (2000) BASE Show details 15 Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks Koehler, Joachim In: DTIC (2000) Abstract: This paper presents three different methods to develop multilingual phone models for flexible speech recognition tasks. The main goal of our investigations is to find multilingual speech units which work equally well in many languages. With this universal set it is possible to build speech recognition systems for a variety of languages. One advantage of this approach is to share acoustic-phonetic parameters in a HMM based speech recognition system. The multilingual approach starts with the phone set of six languages ending up with 232 language-dependent and context-independent phone models. Then, we developed three different methods to map the language-dependent models to a multilingual phone set. The first method is a direct mapping to the phone set of the International Phonetic Association (IPA). In the second approach we apply an automatic clustering algorithm for the phone models. The third method exploits the similarities of single mixture components of the language-dependent models. Like the first method the language specific models are mapped to the IPA inventory. In the second step an agglomerative clustering is performed on density level to find regions of similarities between the phone models of different languages. The experiments carried out with the SpeechDat(M) database show that the third method yields in almost the same recognition rate as with language-dependent models. However, using this method we observe a huge reduction of the number of densities in the multilingual system. ; Presented at the Information Systems Technology Panel (IST) Tutorial and Workshop held in Leusden, The Netherlands, 13-14 September 1999. This article is from ADA387529 Multi-Lingual Interoperability in Speech Technology (l'Interoperabilite multilinguistique dans la technologie de la parole) Keyword: *FOREIGN LANGUAGES; *MULTILINGUAL PHONE MODELS; *MULTILINGUAL SYSTEMS; *PHONETICS; *SPEECH RECOGNITION; *TELEPHONE SYSTEMS; ALGORITHMS; AUTOMATION; CLUSTERING; COMPONENT REPORTS; DENSITY; FOREIGN REPORTS; INTERNATIONAL; INVENTORY; LANGUAGE; Linguistics; MAPPING; MIXTURES; NATO FURNISHED; SYMPOSIA; VOCABULARY; Voice Communications; YIELD URL: http://www.dtic.mil/docs/citations/ADP010392 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP010392 BASE Hide details 16 Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification Wanneroy, R.; Bilinski, E.; Barras, C.... In: DTIC (2000) BASE Show details 17 Language Identification Through Parallel Phone Recognition. Chou, C. S.; Zissman, M. A. In: DTIC AND NTIS (1995) BASE Show details 18 Multimedia and Audience: Implications for Executive Summaries Grudziecki, Donna M. In: DTIC (1995) BASE Show details 19 Multiple Approaches to Robust Speech Recognition Stern, Richard M.; Liu, Fu-Hua; Ohshima, Yoshiaki... In: DTIC (1992) BASE Show details 20 A Performance Evaluation of Text Analysis Technologies Wendy Lehnert; Beth Sundheim In: http://ciir.cs.umass.edu/info/psfiles/tepubs/aimag.ps (1991) BASE Show details Page: 1 2

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