Trausti T. Kristjansson — accepted AI-conference papers

2024

Scalable and Efficient Speech Enhancement Using Modified Cold Diffusion: A Residual Learning Approach

ICASSP 2024accepted

We introduce flexibility to the supervised learning-based speech enhancement framework to achieve scalable and efficient speech enhancement (SESE). To this end, SESE conducts a series of segmented speech enhancement inference routines, each of which incrementally improves the result of its preceding…

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2022

Deep Adaptive Aec: Hybrid of Deep Learning and Adaptive Acoustic Echo Cancellation

Hao Zhang, Srivatsan Kandadai, Harsha Rao, Minje Kim, Tarun Pruthi, Trausti T. Kristjansson

ICASSP 2022accepted

In this paper we integrate classic adaptive filtering algorithms with modern deep learning to propose a new approach called deep adaptive AEC. The main idea is to represent the linear adaptive algorithm as a differentiable layer within a deep neural network (DNN) framework. This enables the gradient…

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