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Section: Publications & Resources
Inspired by the capabilities of transformer models, we introduce a novel method named Multivariate Time-Series Imputation with Transformers (MTSIT). This entails an unsupervised autoencoder model featuring a transformer encoder, leveraging unlabeled observed data for simultaneous reconstruction and imputation of multivariate time-series.
Section: Publications & Resources
Supported by the SPS Challenge Program.
This challenge addresses the global problem of hearing loss, which will affect 1 in 10 people by 2050. Hearing loss can create many issues with music: quieter passages being inaudible; poor and anomalous pitch perception; and difficulties identifying and picking out instruments and lyrics.
Section: Publications & Resources
Supported by the SPS Challenge Program.
Accurate analysis of liver vasculature in three dimensions (3D) is essential for a variety of medical procedures including computer-aided diagnosis, treatment planning, or pre-operative planning of hepatic diseases.
Section: Publications & Resources
Dr. Lina J. Karam is an Emerita Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University and Director of the R&D Image, Video & Usability (IVU) Lab. She is currently Chief Technical Advisor at AIAEC and expert consultant for various industries and firms in the areas of signal processing, computer vision, AI/machine learning, image and video processing and compression.
Section: Publications & Resources
How can we process and remix music so it sounds best for those with a hearing loss? The Cadenza project is defining what music personalised for someone with a hearing loss should sound like and exploiting the latest in machine learning to create improved listening experiences.
Section: Publications & Resources
The IEEE annual election begins on 15 August and ends on 1 October. All ballots must be received by 12:00 noon EDT USA/16:00 UTC. The IEEE Signal Processing Society is committed to ensuring that its members are prepared with sufficient information about the candidates in order to make their best-informed decision.
Section: Publications & Resources
Empower your future at the IEEE SustainTech Leadership Forum! IEEE SustainTech brings together industry leaders with groundbreaking sustainable technology solutions.
Section: Publications & Resources
The Education Board of the IEEE Signal Processing Society (SPS) has introduced a new short course on the IEEE Learning Network (ILN): Transformer Architectures for Multimodal Signal Processing and Decision Making.
Section: Publications & Resources
IEEE has announced the 2025 IEEE Technical Field Award recipients. Four IEEE Signal Processing Society members have been recognized with an IEEE Technical Field Award.
Section: Publications & Resources
It is my pleasure to announce that the IEEE Signal Processing Society (SPS) annual election will commence on 15 August, and your vote is more important than ever! This year, all eligible SPS Members will vote for the Regional Directors-at-Large for Regions 1-6 and 8 (term 1 January 2025 through 31 December 2026), and Members-at-Large (term 1 January 2025 through 31 December 2027) of the IEEE Signal Processing Society Board of Governors (BoG).
