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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.
Section: Publications & Resources
Representation learning is the foundation of machine reading comprehension and inference. In state-of-the-art models, character-level representations have been broadly adopted to alleviate the problem of effectively representing rare or complex words. However, character itself is not a natural minimal linguistic unit for representation or word embedding composing due to ignoring the linguistic coherence of consecutive characters inside word.
Section: Publications & Resources
Automatic speech emotion recognition has been a research hotspot in the field of human-computer interaction over the past decade. However, due to the lack of research on the inherent temporal relationship of the speech waveform, the current recognition accuracy needs improvement.
Section: Publications & Resources
Short duration text-independent speaker verification remains a hot research topic in recent years, and deep neural network based embeddings have shown impressive results in such conditions. Good speaker embeddings require the property of both small intra-class variation and large inter-class difference, which is critical for the ability of discrimination and generalization.
Section: Publications & Resources
Publication: IEEE Transactions on Computational Imaging
Coded illumination can enable quantitative phase microscopy of transparent samples with minimal hardware requirements. Intensity images are captured with different source patterns, then a nonlinear phase retrieval optimization reconstructs the image. The nonlinear nature of the processing makes optimizing the illumination pattern designs complicated.
