Search Results for author: Vivek Sivaraman Narayanaswamy

Found 3 papers, 1 papers with code

On the Design of Deep Priors for Unsupervised Audio Restoration

1 code implementation14 Apr 2021 Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias

Unsupervised deep learning methods for solving audio restoration problems extensively rely on carefully tailored neural architectures that carry strong inductive biases for defining priors in the time or spectral domain.

Audio Denoising Denoising

Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets

no code implementations8 Apr 2019 Vivek Sivaraman Narayanaswamy, Sameeksha Katoch, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias

We also investigate the impact of dense connections on the extraction process that encourage feature reuse and better gradient flow.

Audio Source Separation

Designing an Effective Metric Learning Pipeline for Speaker Diarization

no code implementations1 Nov 2018 Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias

State-of-the-art speaker diarization systems utilize knowledge from external data, in the form of a pre-trained distance metric, to effectively determine relative speaker identities to unseen data.

Metric Learning speaker-diarization +1

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