14 citations · 15 across the 6 of their papers we have counts for
3 papers · 1 filter
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking
Christopher Richardson, Roshan Sharma, Neeraj Gaur +3
Zero-shot domain adaptation for dialogue state tracking (DST) remains a challenging problem in task-oriented dialogue (TOD) systems, where models must generalize to target domains…
Speech Prefix-Tuning with RNNT Loss for Improving LLM Predictions
Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran +2
In this paper, we focus on addressing the constraints faced when applying LLMs to ASR. Recent works utilize prefixLM-type models, which directly apply speech as a prefix to LLMs fo…
ASTRA: Aligning Speech and Text Representations for Asr without Sampling
Neeraj Gaur, Rohan Agrawal, Gary Wang +3
This paper introduces ASTRA, a novel method for improving Automatic Speech Recognition (ASR) through text injection.Unlike prevailing techniques, ASTRA eliminates the need for samp…