Acoustic domain shift in spoken language identification from systematic domain generalization evaluation to real-world application

arXiv:2609.31759 · eess.AS, cs.LG, cs.SD · Submitted 2026-09-23 · Read on arXiv

eess.AS, cs.LG, cs.SD

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/AMIAD-Research/DomainBed

Terminology

Generalization — 44× in this paper · explained in 13 episodes
Domain Generalization — 28× in this paper
Adaptation — 10× in this paper · explained in 1 episode
Domain Shift — 9× in this paper · explained in 4 episodes
Robustness — 8× in this paper · explained in 5 episodes
Benchmark — 7× in this paper · explained in 2 episodes
Domain Adaptation — 7× in this paper · explained in 5 episodes
Regularization — 3× in this paper · explained in 3 episodes
Alignment — 2× in this paper · explained in 1 episode
Distribution Shift — 2× in this paper · explained in 5 episodes
Generalizability — 2× in this paper · explained in 6 episodes
Transformer — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Adversarial Training — 1× in this paper · explained in 1 episode
DG AND MONO-SOURCE — 1× in this paper
Domain-Adversarial Neural Network — 1× in this paper
Embeddings — 1× in this paper · explained in 2 episodes
Empirical Risk Minimization — 1× in this paper
Failure Modes — 1× in this paper · explained in 3 episodes
Few-Shot Learning — 1× in this paper · explained in 4 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Information Leakage — 1× in this paper · explained in 2 episodes
Maximum Mean Discrepancy — 1× in this paper
Representation Learning — 1× in this paper · explained in 2 episodes
Transferability — 1× in this paper · explained in 4 episodes

Sources

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