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Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization, Speaker State Assessment
In: DTIC (2015)
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2
Open-Source Multi-Language Audio Database for Spoken Language Processing Applications
In: DTIC (2012)
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3
Dialect Distance Assessment Based on 2-Dimensional Pitch Slope Features and Kullback Leibler Divergence
In: DTIC (2009)
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4
A Review of Contributions by Australian Research Institutions into Speech Processing
In: DTIC (2008)
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5
Leveraging Multimodal Redundancy for Dynamic Learning, with SHACER - a Speech and HAndwriting reCognizER
In: DTIC (2007)
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6
Human Language Technology: Opportunities and Challenges
In: DTIC (2005)
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7
Proof of Concept: Iraqi Enrollment via Voice Authentication Project
In: DTIC AND NTIS (2005)
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8
The Pragmatics of Taking a Spoken Language System Out of the Laboratory
In: DTIC (2003)
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9
Multilingual Speech and Language Processing (Le Traitement Multilingue de la Parole et du Langage) (CD-ROM)
In: DTIC (2003)
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10
Towards Multilingual Interoperability in Automatic Speech Recognition
In: DTIC (2000)
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11
Clustering of Context Dependent Speech Units for Multilingual Speech Recognition
In: DTIC (2000)
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12
Auditory Features Underlying Cross-Language Human Capabilities in Stop Consonant Discrimination
In: DTIC (2000)
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13
Vowel System Modeling: A Complement to Phonetic Modeling in Language Identification
In: DTIC (2000)
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14
Comparing Three Methods to Create Multilingual Phone Models for Vocabulary Independent Speech Recognition Tasks
In: DTIC (2000)
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15
Speech Recognition of Non-Native Speech Using Native and Non-Native Acoustic Models
In: DTIC (2000)
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16
Multilingual Vocabularies in Automatic Speech Recognition
In: DTIC (2000)
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17
Speech Recognition by Goats, Wolves, Sheep and Non-Natives
In: DTIC (2000)
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18
Feasibility Study of Speech Recognition Technologies for Operating within a Medical First Responder's Environment
In: DTIC AND NTIS (2000)
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19
Multilingual Text-Independent Speaker Identification
In: DTIC (2000)
Abstract: In this paper, we investigate two facets of speaker recognition : cross-language speaker identification and same language non-native text-independent speaker identification. In this context, experiments have been conducted, using standard multi-gaussian modeling, on the brand new multi-language TNO corpus. Our results indicate how speaker identification performance might be affected when speakers do not use the same language during the training and testing, or when the population is composed of non-native speakers. ; 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: *LINGUISTICS; *MULTILINGUAL SYSTEMS; *SPEECH RECOGNITION; COMPONENT REPORTS; DATA BASES; FOREIGN REPORTS; LANGUAGE; Linguistics; NAN NATIVE LANGUAGE; NATO FURNISHED; POPULATION; SYMPOSIA; TEXT INDEPENDENT SPEAKER; Voice Communications
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP010395
http://www.dtic.mil/docs/citations/ADP010395
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20
Uses of the Diagnostic Rhyme Test (English Version) for Predicting the Effects of Communicators' Linguistic Backgrounds on Voice Communications in English: An Exploratory Study
In: DTIC (2000)
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