1 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.AS2023★ 1 cited
Multi-Channel Masking with Learnable Filterbank for Sound Source Separation
Wang Dai, Archontis Politis, Tuomas Virtanen
This work proposes a learnable filterbank based on a multi-channel masking framework for multi-channel source separation. The learnable filterbank is a 1D Conv layer, which transfo…
eess.AS2020★ 1 cited
Formant Tracking Using Dilated Convolutional Networks Through Dense Connection with Gating Mechanism
Wang Dai, Jinsong Zhang, Yingming Gao +4
Formant tracking is one of the most fundamental problems in speech processing. Traditionally, formants are estimated using signal processing methods. Recent studies showed that gen…