1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
Marko Tuononen, Heikki Penttinen, Duy Vu +3
Neural network-based radio receivers are expected to play a key role in future wireless systems, making reliable Out-Of-Distribution (OOD) detection essential. We propose a post-ho…
eess.AS2022★ 1 cited
Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs
Ruijie Tao, Kong Aik Lee, Rohan Kumar Das +2
We study a novel neural architecture and its training strategies of speaker encoder for speaker recognition without using any identity labels. The speaker encoder is trained to ext…
eess.AS2021
Self-supervised Speaker Recognition with Loss-gated Learning
Ruijie Tao, Kong Aik Lee, Rohan Kumar Das +2
In self-supervised learning for speaker recognition, pseudo labels are useful as the supervision signals. It is a known fact that a speaker recognition model doesn't always benefit…