25 citations · 33 across the 5 of their papers we have counts for
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eess.AS2023
Deep Speech Synthesis from MRI-Based Articulatory Representations
Peter Wu, Tingle Li, Yijing Lu +6
In this paper, we study articulatory synthesis, a speech synthesis method using human vocal tract information that offers a way to develop efficient, generalizable and interpretabl…
eess.AS2020★ 5 cited
Atss-Net: Target Speaker Separation via Attention-based Neural Network
Tingle Li, Qingjian Lin, Yuanyuan Bao +1
Recently, Convolutional Neural Network (CNN) and Long short-term memory (LSTM) based models have been introduced to deep learning-based target speaker separation. In this paper, we…
eess.AS2019
Sams-Net: A Sliced Attention-based Neural Network for Music Source Separation
Tingle Li, Jiawei Chen, Haowen Hou +1
Convolutional Neural Network (CNN) or Long short-term memory (LSTM) based models with the input of spectrogram or waveforms are commonly used for deep learning based audio source s…