Showing 2026Show all
2 papers · 1 filter
eess.AS2026
Teaching the Teachers: Boosting unsupervised domain adaptation in speech recognition by ensemble update
Rehan Ahmad, Muhammad Umar Farooq, Qihang Feng +1
Speech recognition systems often struggle with data domains that have not been included in the training. To address this, unsupervised domain adaptation has been explored with ense…
cs.CL2026
Position-invariant Fine-tuning of Speech Enhancement Models with Self-supervised Speech Representations
Amit Meghanani, Thomas Hain
Integrating front-end speech enhancement (SE) models with self-supervised learning (SSL)-based speech models is effective for downstream tasks in noisy conditions. SE models are co…