Call for Exhibitors and Patrons: To showcase their products and innovative solutions, as well as recruitment and networking opportunities. Please check the conference webpage for information about signing up to become an exhibitor or patron at ICASSP 2024. SP Society Journal Paper Presentations: Autho...
Prospective authors are invited to submit full-length, four-page papers, including figures and references through the web site www.icassp2011.com. The web site will provide further details. Please note that all submission deadlines are strict. ICASSP 2011 requires that each accepted paper be presen...
This repo contains radar datasets accompanying the paper "RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection", submitted to the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025). We will release a preview of our paper soon. Stay tuned for upda...
Repository for the paper Archetypal Analysis for binary data, submitted to ICASSP 2025 - GitHub - Wedenborg/Archetypal-Analysis-For-Binary-Data: Repository for the paper Archetypal Analysis for binary data, submitted to ICASSP 2025
Signal processing for communications and networking Signal processing theory and methods Speech processing Spoken language processing Notice: IEEE Signal Processing Society enforces a “no-show” policy. Any accepted paper included in the final program is expected to have at least one author or qualifie...
Official Tensorflow implementation of ICASSP 2023 paper, "Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition".[paper][code] 📕Introduction In this paper, we propose aTemporal-aware bI-directionMulti-scale Network, termedTIM-Net, which is a novel ...
Signal processing for communications and networking Signal processing theory and methods Speech processing Spoken language processing Notice: IEEE Signal Processing Society enforces a “no-show” policy. Any accepted paper included in the final program is expected to have at least one author or qualifie...
CREPE uses the model size that was reported in the paper by default, but can optionally use a smaller model for computation speed, at the cost of slightly lower accuracy. You can specify--model-capacity {tiny|small|medium|large|full}as the command line option to select a model with desired...