Tingle Li

I am a second-year CS Ph.D. student at UC Berkeley, advised by Gopala Anumanchipalli. I am a part of Berkeley Artificial Intelligence Research (BAIR) Lab, where I have been fortunate to collaborate with Andrew Owens.

Previously, I had the privilege to work with Hang Zhao from IIIS, Tsinghua University and Ming Li from Duke University.

My research revolves around the intersections of auditory perception and computer vision. I am particularly interested in sound-centric multi-modal learning.


profile photo
mri Deep Speech Synthesis from MRI-Based Articulatory Representations
Peter Wu, Tingle Li, Yijing Lu, Yubin Zhang, Jiachen Lian, Alan Black, Louis Goldstein, Shinji Watanabe, Gopala Anumanchipalli
Interspeech, 2023  

We synthesize speech from MRI videos.

umt On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao
ICML, 2023  

We enhance the generalization ability of multimodal models by categorizing the features into uni-modal and paired.

lft Learning Visual Styles from Audio-Visual Associations
Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao
ECCV, 2022  
PDF / Project Page / Code

We learn from unlabeled data to manipulate the style of an image using sound.

r2s Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals
Running ZhaoJiangtao Yu, Tingle Li, Hang Zhao, Edith C.H. Ngai
Interspeech, 2022  
PDF / Project Page

High-quality speech recovery system for millimeter-wave radar without deafness.

avd Neural Dubber: Dubbing for Videos According to Scripts
Chenxu Hu, Qiao Tian, Tingle Li, Yuping Wang, Yuxuan Wang, Hang Zhao
NeurIPS, 2021  
PDF / Project Page / Press

Automatic video dubbing driven by a neural network.

CVC CVC: Contrastive Learning for Non-parallel Voice Conversion
Tingle Li, Yichen Liu, Chenxu Hu, Hang Zhao
Interspeech, 2021 (ISCA Student Travel Grant) 
PDF / Project Page / Code

One-way GAN training for non-parallel voice conversion.

sams Sams-Net: A Sliced Attention-based Neural Network for Music Source Separation
Tingle Li, Jiawei Chen, Haowen Hou, Ming Li
ISCSLP, 2021 (Oral, Best Undergraduate Dissertation) 
PDF / Project Page

The scope of attention is narrowed down to the intra-chunk musical features that are most likely to affect each other.

fsc The DKU Speech Activity Detection and Speaker Identification Systems for Fearless Steps Challenge Phase-02
Qingjian Lin, Tingle Li, Ming Li
Interspeech, 2020  
PDF / Leaderboard

SoTA performance for speech activity detection and speaker identification.

atss Atss-Net: Target Speaker Separation via Attention-based Neural Network
Tingle Li, Qingjian Lin, Yuanyuan Bao, Ming Li
Interspeech, 2020  
PDF / Project Page

Adapted Transformer to the speech separation for more efficient and generalizable performance.

oml Optimal Mapping Loss: A Faster Loss for End-to-End Speaker Diarization
Qingjian Lin, Tingle Li, Lin Yang, Junjie Wang, Ming Li
Odyssey, 2020  

A new mapping loss based on Hungarian algorithm that reduces time complexity while maintaining performance for speaker diarization.

Last updated Apr. 2023.
Template from Jon Barron.