#icassp

We have 2 research papers accepted to present at #ICASSP in Hyderabad! You can read the preprints:
"LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging" led by Shubhr Singh https://arxiv.org/abs/2501.03464
"Acoustic identification of individual animals with hierarchical contrastive learning" led by Ines Nolasco https://arxiv.org/abs/2409.08673 #machinelearning #machinelistening #bioacoustics

The paper of my internship at
#meta (https://arxiv.org/abs/2210.11981) was accepted to the 2023 IEEE ICASSP (@ieee_bot #icassp). See you there!

The decision to make #ACL Rolling Review (#ARR) and #ICASSP metareviews due within two days of each other did not take my needs into account.

Just received the 3 reviews of #ICASSP 23, not bad, but the least positive one, the 2nd reviewer, seems to have cut'n pasted his/her review from another clearly unrelated work let's see what to write in the rebuttal now, hoping it'll be considered

Here is a machine learning challenge: "Decode" EEG to estimate what a listener was hearing, actually, what features of continuous speech can be predicted from EEG.

https://exporl.github.io/auditory-eeg-challenge-2023/

The challenge runs from now until February 6, 2023, after which the top 5 teams will be invited to submit a 2-page paper to ICASSP and later on an invitation to write a journal paper for the IEEE open journal of signal processing.

#machinelearning #EEG #neuroscience #speech #ICASSP

Our "poster paper" is coming up next! "Efifcient bird sound detection on the Bela embedded system" - See Alex present it here: https://2020.ieeeicassp-virtual.org/presentation/poster/efficient-bird-sound-detection-bela-embedded-system/ - and ask us questions! #icassp #machinelistening #bioacoustics