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L. Paola García-Perera

2 accepted papers

2020

Feature Enhancement with Deep Feature Losses for Speaker Verification

ICASSP 2020accepted

Speaker Verification still suffers from the challenge of generalization to novel adverse environments. We leverage on the recent advancements made by deep learning based speech enhancement and propose a feature-domain supervised denoising based solution. We propose to use Deep Feature Loss which opt…

Cited by 0SourceScholar
2020

Unsupervised Feature Enhancement for Speaker Verification

ICASSP 2020accepted

The task of making speaker verification systems robust to adverse scenarios remains a challenging and an active area of research. We developed an unsupervised feature enhancement approach in log-filter bank space with the end goal of improving speaker verification performance. We experimented with u…

Cited by 0SourceScholar