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Issue Date:
Section: Community & Involvement
Following on the success of the bi-annual SLT workshop over the past decade, the IEEE Speech and Language Technical Committee invites proposals to host the 2020 IEEE Workshop on Spoken Language Technology (SLT 2020).
Issue Date:
Section: Community & Involvement
Issue Date:
Section: Community & Involvement
The 32nd Conference on Neural Information Processing Systems took place at the convention center of Montreal, Canada, from Dec. 3 to Dec. 8, 2018. This year, the acronym of the conference changed from NIPS to NeurIPS.
Issue Date:
Section: Community & Involvement
NeurIPS Workshop
Section: Publications & Resources
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Section: Publications & Resources
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Section: Publications & Resources
The Signal Processing Society (SPS) has 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.
Section: Publications & Resources
Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members. To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow.
Section: Publications & Resources
The IEEE SPS congratulates the following SPS members who will receive the Society’s prestigious awards during ICASSP 2024 in Korea.
Section: Publications & Resources
Publication: IEEE Open Journal of Signal Processing
Synthetically-generated images are getting increasingly popular. Diffusion models have advanced to the stage where even non-experts can generate photo-realistic images from a simple text prompt. They expand creative horizons but also open a Pandora's box of potential disinformation risks. In this context, the present corpus of synthetic image detection techniques, primarily focusing on older generative models like Generative Adversarial Networks, finds itself ill-equipped to deal with this emerging trend.
