SLP-P31: Self-supervised and Unsupervised Domain Adaptation for ASR
Poster
Thu, 7 May, 09:00 - 11:00
Location: Poster Area 27
Session Type: Poster
Track: Speech and Language Processing [SL]
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SLP-P31.2: POSITION-INVARIANT FINE-TUNING OF SPEECH ENHANCEMENT MODELS WITH SELF-SUPERVISED SPEECH REPRESENTATIONS

Amit Meghanani, Thomas Hain, The University of Sheffield, United Kingdom of Great Britain and Northern Ireland

SLP-P31.3: IMPROVING AUTOMATIC SPEECH RECOGNITION BY MITIGATING DISTORTIONS INTRODUCED BY SPEECH ENHANCEMENT UNDER DRONE NOISE

Ryusei Miura, Takahiro Osaki, Benjamin Yen, Takeshi Ashizawa, Kazuhiro Nakadai, Institute of Science Tokyo, Japan

SLP-P31.4: TEACHING THE TEACHERS: BOOSTING UNSUPERVISED DOMAIN ADAPTATION IN SPEECH RECOGNITION BY ENSEMBLE UPDATE

Rehan Ahmad, University of Sheffield, United Kingdom of Great Britain and Northern Ireland; Muhammad Umar Farooq, Emotech, United Kingdom of Great Britain and Northern Ireland; Qihang Feng, Thomas Hain, University of Sheffield, United Kingdom of Great Britain and Northern Ireland

SLP-P31.5: INVERSE-HESSIAN REGULARIZATION FOR CONTINUAL LEARNING IN ASR

Steven Vander Eeckt, Hugo Van hamme, KU Leuven, Belgium

SLP-P31.6: BEST-RQ-BASED SELF-SUPERVISED LEARNING FOR WHISPER DOMAIN ADAPTATION

Raphaël Bagat, CNRS, France; Irina Illina, Université de Lorraine, France; Emmanuel Vincent, Inria, France

SLP-P31.9: PROFICIENCY-AWARE ADAPTATION AND DATA AUGMENTATION FOR ROBUST L2 ASR

Ling Sun, Charlotte Zhu, Shuju Shi, Indiana University Bloomington, United States of America

SLP-P31.10: DOMAIN-AWARE SCHEDULING FOR ASR FINE-TUNING

Nikolaos Lagos, Ioan Calapodescu, Naver Labs Europe, France