A Siamese MLP that fuses speaker embeddings from noisy and DeepFilterNet-enhanced speech cuts speaker verification error at SNR -10 dB and below, while degrading performance near 0 dB.
V oxCeleb: Large-scale speaker ver- ification in the wild,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
A Framework for Robust Speaker Verification in Highly Noisy Environments Leveraging Both Noisy and Enhanced Audio
A Siamese MLP that fuses speaker embeddings from noisy and DeepFilterNet-enhanced speech cuts speaker verification error at SNR -10 dB and below, while degrading performance near 0 dB.