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- The University of TokyoJP17 papers
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- MIT Lincoln LaboratoryUS4 papers
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- RIKEN Advanced Science InstituteJP4 papers
- RIKEN Center for Emergent Matter ScienceJP4 papers
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Showing 2019 · eess.ASShow all
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eess.AS2019
Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scores
Alexey Sholokhov, Tomi Kinnunen, Ville Vestman +1
How secure automatic speaker verification (ASV) technology is? More concretely, given a specific target speaker, how likely is it to find another person who gets falsely accepted a…
eess.AS2019
Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning
Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo
This paper proposes an effective modelling of sound event spectra with a hidden data-size-imbalance, for improved Acoustic Event Detection (AED). The proposed method models each ev…