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[Paper 리뷰] Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation
Eta-WavLM: Efficient Speaker Identity Removal in Self-Supervised Speech Representations Using a Simple Linear Equation기존의 Self-Supervised Learning model은 speaker identity를 fully disentangle 하지 못함Eta-WavLMSelf-Supervised Learning representation을 speaker-specific, speaker-independent component로 linearly decompose이후 linearly decomposed feature로부터 speaker disentangled representation을 생성논문 (ACL 2025)..
Paper/Representation
2025. 6. 24. 17:01
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