Search Results for author: Lodagala V S V Durga Prasad

Found 2 papers, 1 papers with code

PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech Representations

1 code implementation • 31 Mar 2022 • Lodagala V S V Durga Prasad, Sreyan Ghosh, S. Umesh

To alleviate this issue, we propose PADA (Pruning Assisted Domain Adaptation) and zero out redundant weights from models pre-trained on large amounts of out-of-domain (OOD) data.

Domain Adaptation Language Modelling +1

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Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition

no code implementations • 31 Mar 2022 • Ashish Seth, Lodagala V S V Durga Prasad, Sreyan Ghosh, S. Umesh

Self-supervised learning (SSL) to learn high-level speech representations has been a popular approach to building Automatic Speech Recognition (ASR) systems in low-resource settings.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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