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Section: Publications & Resources

Publication: IEEE Open Journal of Signal Processing

Aims & Scope The IEEE Open Journal of Signal Processing covers the enabling technology for the generation, transformation, extraction, and interpretation of information. It comprises the theory, algorithms with associated architectures and implementations, and applications related to processing information contained in many different formats broadly designated as signals.

Audience:  Fresh PhD who want to apply their ML skill to develop innovative applications in audio and music, with direct implementation within a commercialized product, and an ambitious technological roadmap for the years to come. Job description: full time job within a team of 4 engineer / researchers / developers, completely integrated with the 12 members of the company.

Section: Events

December 11-12, 2019 Location: Brussels, Belgium  

Section: Events

April 21-24, 2020 Location: Changed to--Virtual Conference

Section: Events

September 15-16, 2020 NOTE: Location changed to--Virtual Conference

Section: Events

May 26-28, 2020 Location: Changed to--Virtual Conference

Section: Publications & Resources

It is my pleasure to share my views for the Signal Processing Society (SPS) Chapters’ best practices. Before I begin, I want to describe my own personal experience as a volunteer. I started my journey as a Treasurer (2013-14) and then as the Chairman (2015-16) for SPS Chapter, Gujarat Section (GS).

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

Diacritics restoration is a necessary component in order to develop Arabic text to speech systems. When diacritics are present, the phonetic transcription algorithm can be implemented based on a few rules. Restoring Arabic diacritics based on language model scoring is the dominant approach. A fixed vocabulary is usually used to build the language model used for scoring.

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

In this letter, we propose a heuristic method to address sensor bias estimation to improve track-to-track association accuracy. A novel multi-parameter cost function is derived from rigid transformation function and it is minimized by the covariance matrix adaptation evolution strategies algorithm.

Section: Publications & Resources

Publication: IEEE Signal Processing Letters

Over the last years, several stationarity tests have been proposed. One of these methods uses time-frequency representations and stationarized replicas of the signal (known as surrogates) for testing wide-sense stationarity. In this letter, we propose a procedure to improve the original surrogate test.