Deep speaker embeddings for Speaker Verification: Review and experimental comparison
The construction of speaker-specific acoustic models for automatic speaker recognition is
almost exclusively based on deep neural network-based speaker embeddings. This work …
almost exclusively based on deep neural network-based speaker embeddings. This work …
[PDF][PDF] Multi-Modality Matters: A Performance Leap on VoxCeleb.
The information from different modalities usually compensates each other. In this paper, we
use the audio and visual data in VoxCeleb dataset to do person verification. We explored …
use the audio and visual data in VoxCeleb dataset to do person verification. We explored …
DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification
Y Wang, Y Zhang, Z Wu, Z Yang, T Wei… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Data augmentation is vital to the generalization ability and robustness of deep neural
networks (DNNs) models. Existing augmentation methods for speaker verification …
networks (DNNs) models. Existing augmentation methods for speaker verification …