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Seeking student voices in collaborative spaces : a case study of basic writers interacting in Blackboard, Facebook and the classroom
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Instrumentation of annotated c programs for test generation
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In: 2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation ; https://hal-cea.archives-ouvertes.fr/cea-01836306 ; 2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation, Sep 2014, Victoria, Canada. pp.105-114, ⟨10.1109/SCAM.2014.19⟩ (2014)
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Guiding learners to near native fluency in English through an adaptive programme of activities which includes phoneme and prosody analysis.
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BACIBeans: A NetBeans Plugin for Concurrent Programs
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In: Seaver College Research And Scholarly Achievement Symposium (2014)
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Intelligence Virtual Analyst Capability: Governing Concepts and Science and Technology Roadmap
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VOCALinc
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In: DTIC (2014)
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Abstract:
As part of a growing trend in biometric identification, speaker recognition is becoming increasingly important to the nation s forensic laboratories, intelligence agencies, and military branches. Voice, along with other biometrics, such as fingerprints and iris patterns, is a unique characteristic that can be used to verify or identify individuals. Until recently, only spectrogram-based speaker recognition techniques were available. These techniques rely on electronically recorded speech signals, graphically represented as a function of time and frequency (i.e., a spectrogram), that analysts must manually evaluate an error-prone, subjective, inconsistent, and time-consuming process. VOCALinc, a stand-alone automated speaker recognition software developed by MIT Lincoln Laboratory, overcomes many of the issues inherent in manual techniques. Incorporating recent advances in speaker recognition technology, the software consists of a suite of speaker recognition algorithms that conduct the speaker comparisons and a graphical user interface that allows analysts to specify known data about uploaded voice samples and apply the algorithm(s) of their choice.
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Keyword:
*SPEECH RECOGNITION; ALGORITHMS; ANALYSTS; COMPUTER PROGRAMS; Voice Communications
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URL: http://www.dtic.mil/docs/citations/ADA625747 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA625747
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Graph Analyzer Widget Closer to Agility through Sense-Making
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In: DTIC (2014)
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Towards A Robust Arabic Speech Recognition System Based On Reservoir Computing
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Finger placement correction for static gesture recognition in American Sign Language
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