This study investigates various aspects of multi-speaker interference and its impact on speaker recognition. Single-channel multi-speaker speech signals (aka co-channel speech) comprise a significant portion of speech processing data. Examples of co-channel signals are recordings from multiple speakers in meetings, conversations, debates, etc.

Improving the modeling and processing of nonstationary signals remains an important yet challenging problem. In the past, the most effective approach for processing these signals has been statistical modeling.

Machine learning and related statistical signal processing are expected to endow sensor networks with adaptive machine intelligence and greatly facilitate the Internet of Things (IoT). As such, architectures embedding adaptive and learning algorithms on-chip are oft-ignored by system architects and design engineers, and present a new set of design trade-offs.

The IEEE Signal Processing Society Malaysia Chapter has been selected as the recipient of the 2018 Chapter of the Year Award!

5G technology, with its promises of self-driving vehicles and immersive virtual reality, will be a data-hungry generation of wireless communications.

This month's special issue of Proceedings of the IEEE provides a state-of-the-art overview of the field of silicon photonics, which is making a significant impact on fiber-optic communications and spreading to new areas such as sensors and deep learning.

A new online portal is available for ordering Membership Development (MD) materials. Volunteers now have the ability to customize the quantities and items included to support in recruiting new members, retaining those whose membership has lapsed, and recovering former members.

Attn: Section Chairs, Section Student Activities Chairs, and Section Student Representatives
Below are the actions that have been approved by the MGA Board in relation to the Section - Student Branch Connection.