J. S. P. Giraldo

Efficient Keyword Spotting through Hardware-Aware Conditional Execution of Deep Neural Networks

Marian Verhelst, J. S. P. Giraldo, Chris O'Connor, 2019, 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA).

Efficient Execution of Temporal Convolutional Networks for Embedded Keyword Spotting

Marian Verhelst, J. S. P. Giraldo, Vikram Jain, 2021, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework pdf

Marian Verhelst, Linyan Mei, Vikram Jain, 2020, ArXiv.

Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification

Komail M. H. Badami, Steven Lauwereins, Marian Verhelst, 2020, IEEE Journal of Solid-State Circuits.

Laika: A 5uW Programmable LSTM Accelerator for Always-on Keyword Spotting in 65nm CMOS

Marian Verhelst, Juan S. P. Giraldo, J. S. P. Giraldo, 2018, ESSCIRC 2018 - IEEE 44th European Solid State Circuits Conference (ESSCIRC).

TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge

Jaro De Roose, J. S. P. Giraldo, M. Verhelst, 2022, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).

18μW SoC for near-microphone Keyword Spotting and Speaker Verification

Hugo Van hamme, Komail M. H. Badami, Steven Lauwereins, 2019, 2019 Symposium on VLSI Circuits.