1 citations · 2 across the 11 of their papers we have counts for
4 papers · 1 filter
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs
Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal +2
Personalization of automatic speech recognition (ASR) models is a widely studied topic because of its many practical applications. Most recently, attention-based contextual biasing…
Generalized zero-shot audio-to-intent classification
Veera Raghavendra Elluru, Devang Kulshreshtha, Rohit Paturi +2
Spoken language understanding systems using audio-only data are gaining popularity, yet their ability to handle unseen intents remains limited. In this study, we propose a generali…
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages
Devang Kulshreshtha, Saket Dingliwal, Brady Houston +1
Connectionist Temporal Classification (CTC) models are popular for their balance between speed and performance for Automatic Speech Recognition (ASR). However, these CTC models sti…
Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation
Nilaksh Das, Monica Sunkara, Sravan Bodapati +4
End-to-end ASR models trained on large amount of data tend to be implicitly biased towards language semantics of the training data. Internal language model estimation (ILME) has be…