3 citations · 3 across the 1 of their papers we have counts for
6 papers
Single Channel Far Field Feature Enhancement For Speaker Verification In The Wild
Phani Sankar Nidadavolu, Saurabh Kataria, Paola García-Perera +2
We investigated an enhancement and a domain adaptation approach to make speaker verification systems robust to perturbations of far-field speech. In the enhancement approach, using…
Analysis of Deep Feature Loss based Enhancement for Speaker Verification
Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba +1
Data augmentation is conventionally used to inject robustness in Speaker Verification systems. Several recently organized challenges focus on handling novel acoustic environments.…
Speaker detection in the wild: Lessons learned from JSALT 2019
Paola Garcia, Jesus Villalba, Herve Bredin +21
This paper presents the problems and solutions addressed at the JSALT workshop when using a single microphone for speaker detection in adverse scenarios. The main focus was to tack…
Low-Resource Domain Adaptation for Speaker Recognition Using Cycle-GANs
Phani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba +1
Current speaker recognition technology provides great performance with the x-vector approach. However, performance decreases when the evaluation domain is different from the traini…
Unsupervised Feature Enhancement for speaker verification
Phani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba +2
The task of making speaker verification systems robust to adverse scenarios remain a challenging and an active area of research. We developed an unsupervised feature enhancement ap…
Feature Enhancement with Deep Feature Losses for Speaker Verification
Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba +3
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 enh…