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The Tag-Team Approach: Leveraging CLS and Language Tagging for Enhancing Multilingual ASR
Building a multilingual Automated Speech Recognition (ASR) system in a linguistically diverse country like India can be a challenging task due to the differences in scripts and the limited availability of speech data.
Channel-Aware Pretraining of Joint Encoder-Decoder Self-Supervised Model for Telephonic-Speech ASR
Our method gives a relative improvement of ~4% over the joint encoder-decoder self-supervised model built with simple pooling of data, which serves as our baseline.
Domain Adaptation of low-resource Target-Domain models using well-trained ASR Conformer Models
We, therefore, propose to use the embeddings tapped from these encoder layers as features for a downstream Conformer target-domain model and show that they provide significant improvements.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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