Ming Sun

According to our database, Ming Sun authored at least 32 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework.

Rahil Parikh, Harshavardhan Sundar, Ming Sun, Chao Wang, Spyros Matsoukas

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology.

Arman Zharmagambetov, Qingming Tang, Chieh-Chi Kao, Qin Zhang, Ming Sun, Viktor Rozgic, Jasha Droppo, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification.

Qin Zhang, Qingming Tang, Chieh-Chi Kao, Ming Sun, Yang Liu, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Federated Self-Supervised Learning for Acoustic Event Classification.

Meng Feng, Chieh-Chi Kao, Qingming Tang, Ming Sun, Viktor Rozgic, Spyros Matsoukas, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multi-Task Self-Supervised Pre-Training for Music Classification.

Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised and Semi-Supervised Few-Shot Acoustic Event Classification.

Hsin-Ping Huang, Krishna C. Puvvada, Ming Sun, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Improved Student Model Training for Acoustic Event Detection Models.

Anthea Cheung, Qingming Tang, Chieh-Chi Kao, Ming Sun, Chao Wang

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

Acoustic Scene Analysis with Multi-Head Attention Networks.

Weimin Wang, Weiran Wang, Ming Sun, Chao Wang

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling.

Chieh-Chi Kao, Bowen Shi, Ming Sun, Chao Wang

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

On Front-End Gain Invariant Modeling for Wake Word Spotting.

Yixin Gao, Noah D. Stein, Chieh-Chi Kao, Yunliang Cai, Ming Sun, Tao Zhang, Shiv Naga Prasad Vitaladevuni

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging.

Chun-Chieh Chang, Chieh-Chi Kao, Ming Sun, Chao Wang

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources.

Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Few-Shot Acoustic Event Detection Via Meta Learning.

Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification.

Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training.

Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

CoRR, 2019

Neural Text Normalization with Subword Units.

Courtney Mansfield, Ming Sun, Yuzong Liu, Ankur Gandhe, Björn Hoffmeister

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Compression of Acoustic Event Detection Models with Quantized Distillation.

Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Sub-Band Convolutional Neural Networks for Small-Footprint Spoken Term Classification.

Chieh-Chi Kao, Ming Sun, Yixin Gao, Shiv Vitaladevuni, Chao Wang

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Low-Bit Quantization and Quantization-Aware Training for Small-Footprint Keyword Spotting.

Yuriy Mishchenko, Yusuf Goren, Ming Sun, Chris Beauchene, Spyros Matsoukas, Oleg Rybakov, Shiv Naga Prasad Vitaladevuni

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection.

Qingming Tang, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

Semi-supervised Acoustic Event Detection Based on Tri-training.

Bowen Shi, Ming Sun, Chieh-Chi Kao, Viktor Rozgic, Spyros Matsoukas, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

Improving Emotion Classification through Variational Inference of Latent Variables.

Srinivas Parthasarathy, Viktor Rozgic, Ming Sun, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Embeddings for Rare Audio Event Detection with Imbalanced Data.

Vipul Arora, Ming Sun, Chao Wang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection.

Chieh-Chi Kao, Weiran Wang, Ming Sun, Chao Wang

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Monophone-Based Background Modeling for Two-Stage On-Device Wake Word Detection.

Minhua Wu, Sankaran Panchapagesan, Ming Sun, Jiacheng Gu, Ryan Thomas, Shiv Naga Prasad Vitaladevuni, Björn Hoffmeister, Arindam Mandal

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Time-Delayed Bottleneck Highway Networks Using a DFT Feature for Keyword Spotting.

Jinxi Guo, Ken'ichi Kumatani, Ming Sun, Minhua Wu, Anirudh Raju, Nikko Strom, Arindam Mandal

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Compressed Time Delay Neural Network for Small-Footprint Keyword Spotting.

Ming Sun, David Snyder, Yixin Gao, Varun K. Nagaraja, Mike Rodehorst, Sankaran Panchapagesan, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

An Empirical Study of Cross-Lingual Transfer Learning Techniques for Small-Footprint Keyword Spotting.

Ming Sun, Andreas Schwarz, Minhua Wu, Nikko Strom, Spyros Matsoukas, Shiv Vitaladevuni

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting.

Ming Sun, Anirudh Raju, George Tucker, Sankaran Panchapagesan, Gengshen Fu, Arindam Mandal, Spyros Matsoukas, Nikko Strom, Shiv Vitaladevuni

Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Model Compression Applied to Small-Footprint Keyword Spotting.

George Tucker, Minhua Wu, Ming Sun, Sankaran Panchapagesan, Gengshen Fu, Shiv Vitaladevuni

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting.

Sankaran Panchapagesan, Ming Sun, Aparna Khare, Spyros Matsoukas, Arindam Mandal, Björn Hoffmeister, Shiv Vitaladevuni

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Model Shrinking for Embedded Keyword Spotting.

Ming Sun, Varun K. Nagaraja, Björn Hoffmeister, Shiv Vitaladevuni

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015