Spoken language identification (LID) aims to recognize the target language regardless of accent. In practice, however, LID models fine-tuned from self-supervised speech representations frequently confuse accents with languages, misclassifying non-native (L2) speech as the speaker's first language (L1). We show that non...
Minu Kim, Jih-Wan Lee, David R. Mortensen et al.· 0 citations
Audio deepfake detectors need to transfer to languages absent from training, as multilingual speech synthesis outpaces labeled anti-spoofing resources. While detectors increasingly rely on self-supervised speech models (S3Ms), these backbones encode language-dependent structure that confounds spoof cues. We address thi...
This work proposes a closed-form ridge residualization of S3M features against external VoxLingua107 language embeddings, fitted using only healthy-control speech, which consistently improves cross-lingual PD-detection performance while correcting the high-specificity/low-sensitivity failure.
Minu Kim, Eunjung Yeo, Kwanghee Choi et al.· 2 citations
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