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1
The 2016 NIST Speaker Recognition Evaluation
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2
Respirator Speech Intelligibility Testing with an Experienced Speaker
In: DTIC (2015)
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3
How Autism Affects Speech Understanding in Multitalker Environments
In: DTIC (2014)
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4
How Autism Affects Speech Understanding in Multitalker Environments
In: DTIC (2013)
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5
Effects of Speech Intensity on the Callsign Acquisition Test (CAT) and Modified Rhyme Test (MRT) Presented in Noise
In: DTIC (2012)
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6
Performance Assessments of Two-Way, Free-Form, Speech-to-Speech Translation Systems for Tactical Use
In: DTIC (2011)
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7
USSS-MITLL 2010 Human Assisted Speaker Recognition
In: DTIC (2010)
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8
Phraselator Questionnaire Responses
In: DTIC (2009)
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9
Automated Speech Intelligibility System for Head-Borne Personal Protective Equipment: Proof of Concept
In: DTIC (2008)
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10
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
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11
Comparing Evaluation Metrics for Sentence Boundary Detection
In: DTIC (2007)
Abstract: In recent NIST evaluations on sentence boundary detection, a single error metric was used to describe performance. Additional metrics, however, are available for such tasks, in which a word stream is partitioned into subunits. This paper compares alternative evaluation metrics including the NIST error rate, classification error rate per word boundary, precision and recall, ROC curves, DET curves, precision-recall curves, and area under the curves and discusses advantages and disadvantages of each. Unlike many studies in machine learning, we use real data for a real task. We find benefit from using curves in addition to a single metric. Furthermore, we find that data skew has an impact on metrics, and that differences among different system outputs are more visible in precision-recall curves. Results are expected to help us better understand evaluation metrics that should be generalizable to similar language processing tasks. ; Presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (32nd) held in Honolulu, Hawaii on 15-20 April 2007. Published in the Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (32nd), 2007. The original document contains color images.
Keyword: *COMPUTATIONAL LINGUISTICS; *EVALUATION METRICS; *LANGUAGE PROCESSING; *SENTENCE BOUNDARY DETECTION; *SPEECH RECOGNITION; *TEST AND EVALUATION; Equipment and Methods; ERRORS; LEARNING MACHINES; Linguistics; MACHINE LEARNING; NATURAL LANGUAGE; PRECISION; RECALL; ROC CURVES; ROC(RECEIVER OPERATING CHARACTERISTIC); SYMPOSIA; Test Facilities; Voice Communications
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA463058
http://www.dtic.mil/docs/citations/ADA463058
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12
Testing Template and Testing Concept of Operations for Speaker Authentication Technology
In: DTIC (2006)
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13
Speech Intelligibility with Acoustic and Contact Microphones
In: DTIC (2005)
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14
Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004
In: DTIC (2004)
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15
The Pragmatics of Taking a Spoken Language System Out of the Laboratory
In: DTIC (2003)
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16
A Three-Tiered Evaluation Approach for Interactive Spoken Dialogue Systems
In: DTIC (2001)
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17
Preserving Spectral Contrast in Amplitude Compression for Hearing Aids
In: DTIC AND NTIS (2001)
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18
Speech Intelligibility of Native and Non-Native Speech
In: DTIC (2000)
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19
Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification
In: DTIC (2000)
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20
Smoothing Disjoint Formant Track Boundaries Caused by Waveform Substitution in Packet Voice Communication.
In: DTIC AND NTIS (1996)
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