SP-P1: Confidence Measures for ASR/Speech Activity Detection |
Session Type: Poster |
Time: Tuesday, March 16, 10:30 - 12:30 |
Location: Poster Area A |
Session Chair: Stephen Cox, University of East Anglia, UK
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SP-P1.1: WORD CONFIDENCE CALIBRATION USING A MAXIMUM ENTROPY MODEL WITH CONSTRAINTS ON CONFIDENCE AND WORD DISTRIBUTIONS |
Dong Yu; Microsoft Research |
Shizhen Wang; University of California, Los Angeles |
Jinyu Li; Microsoft Corporation |
Li Deng; Microsoft Research |
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SP-P1.2: SEMANTIC CONFIDENCE CALIBRATION FOR SPOKEN DIALOG APPLICATIONS |
Dong Yu; Microsoft Research |
Li Deng; Microsoft Research |
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SP-P1.3: DISCRIMINATIVE CONFIDENCE AND ERROR CAUSE ESTIMATION FOR EXTENDED SPEECH RECOGNITION FUNCTION |
Atsunori Ogawa; NTT Corporation |
Atsushi Nakamura; NTT Corporation |
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SP-P1.4: A MINIMUM VARIANCE ASYNCHRONOUS DETECTION ERROR TRADE-OFF PERFORMANCE ANALYSIS FOR MULTI-CLASS DETECTION PROBLEMS |
Khe Chai Sim; National University of Singapore |
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SP-P1.5: USING ONLINE MODEL COMPARISON IN THE VARIATIONAL BAYES FRAMEWORK FOR ONLINE UNSUPERVISED VOICE ACTIVITY DETECTION |
David Cournapeau; Kyoto University |
Shinji Watanabe; NTT |
Atsushi Nakamura; NTT |
Tatsuya Kawahara; Kyoto University |
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SP-P1.6: VOICE ACTIVITY DETECTION USING HARMONIC FREQUENCY COMPONENTS IN LIKELIHOOD RATIO TEST |
Lee Ngee Tan; University of California, Los Angeles |
Bengt Borgstrom; University of California, Los Angeles |
Abeer Alwan; University of California, Los Angeles |
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SP-P1.7: NOISE ROBUST VOICE ACTIVITY DETECTION USING NORMAL PROBABILITY TESTING AND TIME-DOMAIN HISTOGRAM ANALYSIS |
Houman Ghaemmaghami; Queensland University of Technology |
David Dean; Queensland University of Technology |
Sridha Sridharan; Queensland University of Technology |
Iain McCowan; Queensland University of Technology |
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SP-P1.8: EVALUATING THE ROBUSTNESS OF PRIVACY-SENSITIVE AUDIO FEATURES FOR SPEECH DETECTION IN PERSONAL AUDIO LOG SCENARIOS |
Sree Hari Krishnan Parthasarathi; Idiap Research Institute |
Mathew Magimai-Doss; Idiap Research Institute |
Herve Bourlard; Idiap Research Institute |
Daniel Gatica-Perez; Idiap Research Institute |
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SP-P1.9: A NEW APPROACH FOR ROBUST REAL-TIME VOICE ACTIVITY DETECTION USING SPECTRAL PATTERN |
Mohammad H. Moattar; Amirkabir University of Technology |
Mohammad M. Homayounpour; Amirkabir University of Technology |
Nima Khademi Kalantari; Amirkabir University of Technology |
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SP-P1.10: IMPROVED VOICE ACTIVITY DETECTION USING STATIC HARMONIC FEATURES |
Takashi Fukuda; IBM Japan |
Osamu Ichikawa; IBM Japan |
Masafumi Nishimura; IBM Japan |
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SP-P1.11: INTEGRATION OF SPORADIC NOISE MODEL IN POMDP-BASED VOICE ACTIVITY DETECTION |
Chiyoun Park; Samsung Advanced Institute of Technology, Samsung Electronics Co. |
Namhoon Kim; Samsung Advanced Institute of Technology, Samsung Electronics Co. |
Jeongmi Cho; Samsung Advanced Institute of Technology, Samsung Electronics Co. |
Jeongsu Kim; Samsung Advanced Institute of Technology, Samsung Electronics Co. |
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SP-P1.12: CEPSTRAL MEAN BASED SPEECH SOURCE DISCRIMINATION |
Adam Greenhall; University of Washington |
Les Atlas; University of Washington |
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