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CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment


Nov 04, 2022
Yuchen Liu, Li-Chia Yang, Alex Pawlicki, Marko Stamenovic


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Self-Supervised Learning for Speech Enhancement through Synthesis


Nov 04, 2022
Bryce Irvin, Marko Stamenovic, Mikolaj Kegler, Li-Chia Yang


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Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators


Nov 09, 2021
Marko Stamenovic, Nils L. Westhausen, Li-Chia Yang, Carl Jensen, Alex Pawlicki

* To appear in NeurIPS 2021 Efficient Natural Langauge and Speech Processing Workshop as oral-spotlight presentation 

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TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids


May 20, 2020
Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough

* First four authors contributed equally. For audio samples, see https://github.com/BoseCorp/efficient-neural-speech-enhancement 

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Machine Identification of High Impact Research through Text and Image Analysis


May 20, 2020
Marko Stamenovic, Jeibo Luo

* 2017 IEEE Third International Conference on Multimedia Big Data (BigMM) 

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Towards Cover Song Detection with Siamese Convolutional Neural Networks


May 20, 2020
Marko Stamenovic

* Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, PMLR 80, 2018 
* Code available at https://github.com/markostam/coversongs-dual-convnet 

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