4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.SD2022
Low-bit Shift Network for End-to-End Spoken Language Understanding
Anderson R. Avila, Khalil Bibi, Rui Heng Yang +3
Deep neural networks (DNN) have achieved impressive success in multiple domains. Over the years, the accuracy of these models has increased with the proliferation of deeper and mor…
cs.CL2021★ 4 cited
A Streaming End-to-End Framework For Spoken Language Understanding
Nihal Potdar, Anderson R. Avila, Chao Xing +3
End-to-end spoken language understanding (SLU) has recently attracted increasing interest. Compared to the conventional tandem-based approach that combines speech recognition and l…
cs.SD2020★ 2 cited
A Principle Solution for Enroll-Test Mismatch in Speaker Recognition
Lantian Li, Dong Wang, Jiawen Kang +4
Mismatch between enrollment and test conditions causes serious performance degradation on speaker recognition systems. This paper presents a statistics decomposition (SD) approach…