This module learns and integrates domain-specific information with speaker-related data, mitigating domain-related variations and promoting convergence of ...
Apr 6, 2024 · The top-performing system integrated with domain adapters achieved 10.8%, 14.8%, and 21.1% EER improve- ments over the baseline across three 3D- ...
The top-performing system integrated with domain adapters achieved 10.8%, 14.8%, and 21.1% EER improve- ments over the baseline across three 3D-Speaker dataset ...
Furthermore, alternative approaches to enhance robustness and performance include leveraging multisource data [28], adding multi-level adapters [41] , applying ...
Apr 18, 2024 · 3: ROBUST CROSS-DOMAIN SPEAKER VERIFICATION WITH MULTI-LEVEL DOMAIN ADAPTERS. Wen Huang, Bing Han, Shanghai Jiao Tong University, China ...
This repository contains domain partition and trial files of the paper "Robust Cross-Domain Speaker Verification with Multi-Level Domain Adapters".
Jun 12, 2024 · Deploying a well-optimized pre-trained speaker recogni- tion model in a new domain often leads to a significant de- cline in performance.
Robust Cross-Domain Speaker Verification with Multi-Level Domain Adapters. W Huang, B Han, S Wang, Z Chen, Y Qian. ICASSP 2024-2024 IEEE International ...
Robust Cross-Domain Speaker Verification with Multi-Level Domain Adapters, GitHub, IEEE Xplore, ➖. Branchformer-based TDNN for Automatic Speaker Verification ...
In this paper, we summarize our previous work and propose multiple training strategies and models for the multi-channel far-field speaker verification with ...
Missing: Adapters. | Show results with:Adapters.