Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classification, speech emotion classification, and sound event detection. Recently, neural networks have been applied to tackle audio pattern recognition problems. 

This SPS webinar will introduce a novel data-driven cooperative localization and location data processing framework, called FedLoc, in line with the emerging machine learning and optimization techniques.

A framework of robust transmission design for reconfigurable intelligent surfaces (RIS) aided systems has been proposed to address the imperfect cascaded channel state information issue.

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

Standards are an important component of today’s commercial marketplace for a variety of advanced technology products.  A frequently cited example of a successful commercial standard is the development of the IEEE 802.11 Wi-Fi standard used to connect billions of wireless devices to local area networks.  

The SPS Fellow Evaluation Committee is seeking nominations for five new members of the 2023 Fellow Evaluation Committee. The term of appointment is one year, renewable for up to three consecutive years (1 January 2023-31 December 2023). The position is responsible for evaluating nominations for IEEE Fellow that are referred for review by the IEEE Fellow Committee and providing IEEE Judges with a critical evaluation and assessment of nominees referred to the Society by the nominator.

In the beginning of 2020, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, affecting billions of humans. Identifying and separating the infected people during the early stage is the most important step in controlling the pandemic.

With the blooming of AI and machine-learning-based data-hungry applications and services, managing personal data and ensuring data privacy and security have become critical challenges.

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 2023 through 31 December 2024), and Members-at-Large (term 1 January 2023 through 31 December 2025) of the IEEE Signal Processing Society Board of Governors (BoG).

The Audio Engineering Society (AES), the IEEE Consumer Technology Society (CTSoc), and the IEEE Signal Processing Society (SPS) cordially invite you to a first-of-a-kind joint event discussing the state of the art perspectives in this rapidly evolving field.