Machine Identification of High Impact Research through Text and Image Analysis. - Marko Stamenovic; Sam Schick; Jiebo Luo 001 (BigMM, 2017)

TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. - Igor Fedorov; Marko Stamenovic; Carl Jensen; Li-Chia Yang; Ari Mandell; Yiming Gan; Matthew Mattina; Paul N. Whatmough (INTERSPEECH, 2020)

Towards Cover Song Detection with Siamese Convolutional Neural Networks. - Marko Stamenovic (CoRR, 2020)

Machine Identification of High Impact Research through Text and Image Analysis. - Marko Stamenovic; Jiebo Luo 001 (CoRR, 2020)

Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators. - Marko Stamenovic; Nils L. Westhausen; Li-Chia Yang; Carl Jensen; Alex Pawlicki (CoRR, 2021)

CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment. - Yuchen Liu; Li-Chia Yang; Alexander Pawlicki; Marko Stamenovic (INTERSPEECH, 2022)

Self-Supervised Learning for Speech Enhancement Through Synthesis. - Bryce Irvin; Marko Stamenovic; Mikolaj Kegler; Li-Chia Yang (ICASSP, 2023)

CATSE: A Context-Aware Framework for Causal Target Sound Extraction. - Shrishail Baligar; Mikolaj Kegler; Bryce Irvin; Marko Stamenovic; Shawn D. Newsam (EUSIPCO, 2024)

Latent CLAP Loss for Better Foley Sound Synthesis. - Tornike Karchkhadze; Hassan Salami Kavaki; Mohammad Rasool Izadi; Bryce Irvin; Mikolaj Kegler; Ari Hertz; Shuo Zhang; Marko Stamenovic (EUSIPCO, 2024)

A Fullband Neural Network for Audio Packet Loss Concealment. - Bryce Irvin; Sile Yin; Shuo Zhang; Marko Stamenovic (ICASSP Workshops, 2024)

Two-Step Knowledge Distillation for Tiny Speech Enhancement. - Rayan Daod Nathoo; Mikolaj Kegler; Marko Stamenovic (ICASSP, 2024)