133 citations · 226 across the 12 of their papers we have counts for
12 papers · 1 filter
Device Directedness with Contextual Cues for Spoken Dialog Systems
Dhanush Bekal, Sundararajan Srinivasan, Sravan Bodapati +2
In this work, we define barge-in verification as a supervised learning task where audio-only information is used to classify user spoken dialogue into true and false barge-ins. Fol…
Towards Personalization of CTC Speech Recognition Models with Contextual Adapters and Adaptive Boosting
Saket Dingliwal, Monica Sunkara, Sravan Bodapati +3
End-to-end speech recognition models trained using joint Connectionist Temporal Classification (CTC)-Attention loss have gained popularity recently. In these models, a non-autoregr…
Prompt-tuning in ASR systems for efficient domain-adaptation
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati +3
Automatic Speech Recognition (ASR) systems have found their use in numerous industrial applications in very diverse domains. Since domain-specific systems perform better than their…
Adapting Long Context NLM for ASR Rescoring in Conversational Agents
Ashish Shenoy, Sravan Bodapati, Monica Sunkara +2
Neural Language Models (NLM), when trained and evaluated with context spanning multiple utterances, have been shown to consistently outperform both conventional n-gram language mod…
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents
Ashish Shenoy, Sravan Bodapati, Katrin Kirchhoff
Goal-oriented conversational interfaces are designed to accomplish specific tasks and typically have interactions that tend to span multiple turns adhering to a pre-defined structu…
Neural Inverse Text Normalization
Monica Sunkara, Chaitanya Shivade, Sravan Bodapati +1
While there have been several contributions exploring state of the art techniques for text normalization, the problem of inverse text normalization (ITN) remains relatively unexplo…