18 citations · 48 across the 10 of their papers we have counts for
4 papers · 1 filter
Investigation of Ensemble features of Self-Supervised Pretrained Models for Automatic Speech Recognition
A Arunkumar, Vrunda N Sukhadia, S. Umesh
Self-supervised learning (SSL) based models have been shown to generate powerful representations that can be used to improve the performance of downstream speech tasks. Several sta…
Joint Encoder-Decoder Self-Supervised Pre-training for ASR
Arunkumar A, Umesh S
Self-supervised learning (SSL) has shown tremendous success in various speech-related downstream tasks, including Automatic Speech Recognition (ASR). The output embeddings of the S…
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition
Ashish Seth, Lodagala V S V Durga Prasad, Sreyan Ghosh +1
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 setting…
PADA: Pruning Assisted Domain Adaptation for Self-Supervised Speech Representations
Lodagala V S V Durga Prasad, Sreyan Ghosh, S. Umesh
While self-supervised speech representation learning (SSL) models serve a variety of downstream tasks, these models have been observed to overfit to the domain from which the unlab…