Ming Sun

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 41

Top Topics

Transfer Learning

Background Modeling

Event Detection

Top Venues

Publications

Qin Zhang, Qingming Tang, Chieh-Chi Kao, Ming Sun, Yang Liu, Chao Wang
Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification. ICASSP (2022)
Arman Zharmagambetov, Qingming Tang, Chieh-Chi Kao, Qin Zhang, Ming Sun, Viktor Rozgic, Jasha Droppo, Chao Wang
Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology. ICASSP (2022)
Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Federated Self-Supervised Learning for Acoustic Event Classification. ICASSP (2022)
Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Federated Self-Supervised Learning for Acoustic Event Classification. CoRR (2022)
Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang
Multi-Task Self-Supervised Pre-Training for Music Classification. CoRR (2021)
Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang
Multi-Task Self-Supervised Pre-Training for Music Classification. ICASSP (2021)
Anthea Cheung, Qingming Tang, Chieh-Chi Kao, Ming Sun, Chao Wang
Improved Student Model Training for Acoustic Event Detection Models. DCASE (2021)
Hsin-Ping Huang, Krishna C. Puvvada, Ming Sun, Chao Wang
Unsupervised and Semi-Supervised Few-Shot Acoustic Event Classification. ICASSP (2021)
Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang
Few-Shot Acoustic Event Detection Via Meta Learning. ICASSP (2020)
Weimin Wang, Weiran Wang, Ming Sun, Chao Wang
Acoustic Scene Analysis with Multi-Head Attention Networks. INTERSPEECH (2020)
Chieh-Chi Kao, Bowen Shi, Ming Sun, Chao Wang
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling. CoRR (2020)
Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang
Few-shot acoustic event detection via meta-learning. CoRR (2020)
Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Naga Prasad Vitaladevuni
On Front-End Gain Invariant Modeling for Wake Word Spotting. INTERSPEECH (2020)
Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun, Chao Wang
Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging. CoRR (2020)
Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Vitaladevuni
On Front-end Gain Invariant Modeling for Wake Word Spotting. CoRR (2020)
Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang
Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources. ICASSP (2020)
Chieh-Chi Kao, Bowen Shi, Ming Sun, Chao Wang
A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling. INTERSPEECH (2020)
Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun, Chao Wang
Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging. INTERSPEECH (2020)
Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. CoRR (2020)
Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. ICASSP (2020)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Semi-supervised Acoustic Event Detection based on tri-training. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models with Quantized Distillation. INTERSPEECH (2019)
Srinivas Parthasarathy, Viktor Rozgic, Ming Sun, Chao Wang
Improving Emotion Classification through Variational Inference of Latent Variables. ICASSP (2019)
Vipul Arora, Ming Sun, Chao Wang
Deep Embeddings for Rare Audio Event Detection with Imbalanced Data. ICASSP (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Compression of Acoustic Event Detection Models With Quantized Distillation. CoRR (2019)
Yuriy Mishchenko, Yusuf Goren, Ming Sun, Chris Beauchene, Spyros Matsoukas, Oleg Rybakov, Shiv Naga Prasad Vitaladevuni
Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting. ICMLA (2019)
Chieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang
Sub-Band Convolutional Neural Networks for Small-Footprint Spoken Term Classification. INTERSPEECH (2019)
Chieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang
Sub-band Convolutional Neural Networks for Small-footprint Spoken Term Classification. CoRR (2019)
Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang
Semi-supervised Acoustic Event Detection Based on Tri-training. ICASSP (2019)
Weimin Wang, Weiran Wang, Ming Sun, Chao Wang
Acoustic scene analysis with multi-head attention networks. CoRR (2019)
Qingming Tang, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Chao Wang
Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection. ICASSP (2019)
Minhua Wu, Sankaran Panchapagesan, Ming Sun, Jiacheng Gu, Ryan Thomas, Shiv Naga Prasad Vitaladevuni, Björn Hoffmeister, Arindam Mandal
Monophone-Based Background Modeling for Two-Stage On-Device Wake Word Detection. ICASSP (2018)
Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. INTERSPEECH (2018)
Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection. CoRR (2018)
Ming Sun, Anirudh Raju, George Tucker, Sankaran Panchapagesan, Gengshen Fu, Arindam Mandal, Spyros Matsoukas, Nikko Strom, Shiv Vitaladevuni
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting. CoRR (2017)
Ming Sun, Andreas Schwarz, Minhua Wu, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni
An Empirical Study of Cross-Lingual Transfer Learning Techniques for Small-Footprint Keyword Spotting. ICMLA (2017)
Ming Sun, David Snyder, Yixin Gao, Varun K. Nagaraja, Mike Rodehorst, Sankaran Panchapagesan, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni
Compressed Time Delay Neural Network for Small-Footprint Keyword Spotting. INTERSPEECH (2017)
George Tucker, Minhua Wu, Ming Sun, Sankaran Panchapagesan, Gengshen Fu, Shiv Vitaladevuni
Model Compression Applied to Small-Footprint Keyword Spotting. INTERSPEECH (2016)
Sankaran Panchapagesan, Ming Sun, Aparna Khare, Spyros Matsoukas, Arindam Mandal, Björn Hoffmeister, Shiv Vitaladevuni
Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting. INTERSPEECH (2016)
Ming Sun, Anirudh Raju, George Tucker, Sankaran Panchapagesan, Gengshen Fu, Arindam Mandal, Spyros Matsoukas, Nikko Strom, Shiv Vitaladevuni
Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting. SLT (2016)
Ming Sun, Varun K. Nagaraja, Björn Hoffmeister, Shiv Vitaladevuni
Model Shrinking for Embedded Keyword Spotting. ICMLA (2015)