Search Results for author:
Found 6 papers, 1 papers with code
Domain Agnostic Few-shot Learning for Speaker Verification
Deep learning models for verification systems often fail to generalize to new users and new environments, even though they learn highly discriminative features.
SubSpectral Normalization for Neural Audio Data Processing
In this work, we introduce SubSpectral Normalization (SSN), which splits the input frequency dimension into several groups (sub-bands) and performs a different normalization for each group.
Ranked #1 on
Keyword Spotting
on TAU Urban Acoustic Scenes 2019
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization
Temporally localizing actions in videos is one of the key components for video understanding.
End-to-End Lane Marker Detection via Row-wise Classification
In autonomous driving, detecting reliable and accurate lane marker positions is a crucial yet challenging task.
Ranked #19 on
Lane Detection
on TuSimple
Weakly Labeled Sound Event Detection Using Tri-training and Adversarial Learning
This paper considers a semi-supervised learning framework for weakly labeled polyphonic sound event detection problems for the DCASE 2019 challenge's task4 by combining both the tri-training and adversarial learning.
Acoustic Scene Classification Based on a Large-margin Factorized CNN
With this loss function, the samples from the same audio scene are clustered independently of the environment, and thus we can get the classifier with better generalization ability in an unseen environment.
