Voice banking is a new technology that safeguards the distinctive vocal signatures of people who have lost the power of speech. Though this might sound like a good-news story, Soumi Banerjee and Dipjyoti Paul show how such advancements might widen existing cleavages between the affluent and economically disadvantaged, prioritising certain voices over others
PhD Candidate, Department of Computer Science, University of Crete
Dipjyoti received a BTech in electronics and communication engineering from St Thomas’ College of Engineering and Technology, West Bengal University of Technology, Kolkata, in 2013.
In 2017 he gained an MSc in electronics and electrical communication engineering from the Indian Institute of Technology Kharagpur.
He is currently pursuing a PhD in speech signal processing.
His research interests span the general area of theory and applications of machine learning algorithms, especially deep learning.
His research agenda is to establish a thorough understanding of the theoretical concepts and then leverage these concepts for solving various real-world problems.
Dipjyoti has research interests in diverse areas such as applied probability theory, machine / deep learning, computer vision, signal / speech processing, and optimisation theory.
He also has a broad interest in probabilistic machine learning methods and generative models.
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