this is a challenging problem, and several non-linear methods have been proposed to improve upon the linear regression methods. In the Auditory-EEG challenge, teams will compete to build the best model to relate speech to EEG. We provide a large auditory EEG dataset containing data from 105 s...
GC-9: ICASSP SP Cadenza Challenge: Music demixing/remixing for hearing aids GC-10: The ICASSP 2024 Audio Deep Packet Loss Concealment Grand Challenge GC-11: ICASSP 2024 SPEECH SIGNAL IMPROVEMENT CHALLENGE GC-1: Auditory EEG Decoding Challenge 2024 组织者:Lies Bollens, Corentin Puffay, Bernd Ac...
This paper describes the auditory EEG challenge, organized as one of the Signal Processing Grand Challenges of ICASSP 2024. This challenge consists of two tasks, which aim to relate electroencephalogram (EEG) responses to a continuous realistic speech stimulus. The first task, match-mismatch, aims ...
9668 AN ATTENTION-ENHANCED RETENTIVE BROAD LEARNING SYSTEM FOR SUBJECT-GENERIC EMOTION RECOGNITION FROM EEG SIGNALS 11874 AN AUDIO-QUALITY-BASED MULTI-STRATEGY APPROACH FOR TARGET SPEAKER EXTRACTION IN THE MISP 2023 CHALLENGE 8453 AN AUDIO-TEXTUAL DIFFUSION MODEL FOR CONVERTING SPEECH SIGNALS INTO ULTRASOU...
Auditory EEG Decoding Challenge Audio Events Detection and Classification; Music Information Retrieval Language Understanding and Computational Semantics - NLP Tasks Physiological and Wearable Signal Processing Speech Enhancement; Music Information Retrieval Multimodal Medical Image Fusion and Analysis Spars...
ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets, Testing Framework, and Results Kusha Sridhar,Ross Cutler,Ando Saabas, Tanel Parnamaa,Markus Loide,Hannes Gamper,Sebastian Braun,Robert Aichner,Sriram Srinivasan 16:30 – 17:15 |Learning ...