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- Japan Science and Technology AgencyJP16 papers
- RIKENJP15 papers
- The University of TokyoJP15 papers
- VTT Technical Research Centre of FinlandFI6 papers
- Tohoku UniversityJP5 papers
- Massachusetts Institute of TechnologyUS4 papers
- MIT Lincoln LaboratoryUS4 papers
- National Institute of Advanced Industrial Science and TechnologyJP4 papers
- NEC (United States)US4 papers
- RIKEN Advanced Science InstituteJP4 papers
- RIKEN Center for Emergent Matter ScienceJP4 papers
- University of California, Santa BarbaraUS4 papers
6 papers · 1 filter
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…
Disjunct Support Spike and Slab Priors for Variable Selection in Regression under Quasi-sparseness
Daniel Andrade, Kenji Fukumizu
Sparseness of the regression coefficient vector is often a desirable property, since, among other benefits, sparseness improves interpretability. In practice, many true regression…
Evolution of three-dimensional Relativistic Ion Weibel Instability: Competition with Kink Instability
Makoto Takamoto, Yosuke Matsumoto, Tsunehiko N. Kato
In this paper, we report our recent findings on the relativistic Weibel instability and its nonlinear saturation by performing numerical simulations of collisionless plasmas. Analy…
Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation
Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo
This paper proposes a determined blind source separation method using Bayesian non-parametric modelling of sources. Conventionally source signals are separated from a given set of…
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…
Pay Less Attention with Lightweight and Dynamic Convolutions
Felix Wu, Angela Fan, Alexei Baevski +2
Self-attention is a useful mechanism to build generative models for language and images. It determines the importance of context elements by comparing each element to the current t…