Ming Sun

Affiliations:
  • Amazon Alexa


According to our database1, Ming Sun authored at least 32 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2022
Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology.
Proceedings of the IEEE International Conference on Acoustics, 2022

Wikitag: Wikipedia-Based Knowledge Embeddings Towards Improved Acoustic Event Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Federated Self-Supervised Learning for Acoustic Event Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Multi-Task Self-Supervised Pre-Training for Music Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised and Semi-Supervised Few-Shot Acoustic Event Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Improved Student Model Training for Acoustic Event Detection Models.
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.
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.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

On Front-End Gain Invariant Modeling for Wake Word Spotting.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Intra-Utterance Similarity Preserving Knowledge Distillation for Audio Tagging.
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.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Few-Shot Acoustic Event Detection Via Meta Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification.
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.
CoRR, 2019

Neural Text Normalization with Subword Units.
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.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Sub-Band Convolutional Neural Networks for Small-Footprint Spoken Term Classification.
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.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Hierarchical Residual-pyramidal Model for Large Context Based Media Presence Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

Semi-supervised Acoustic Event Detection Based on Tri-training.
Proceedings of the IEEE International Conference on Acoustics, 2019

Improving Emotion Classification through Variational Inference of Latent Variables.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Embeddings for Rare Audio Event Detection with Imbalanced Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
R-CRNN: Region-based Convolutional Recurrent Neural Network for Audio Event Detection.
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.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Time-Delayed Bottleneck Highway Networks Using a DFT Feature for Keyword Spotting.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Compressed Time Delay Neural Network for Small-Footprint Keyword Spotting.
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.
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.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Model Compression Applied to Small-Footprint Keyword Spotting.
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.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015
Model Shrinking for Embedded Keyword Spotting.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015


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