1 citations · 1 across the 3 of their papers we have counts for
3 papers
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
Hitesh Tulsiani, David M. Chan, Shalini Ghosh +6
Dialog systems, such as voice assistants, are expected to engage with users in complex, evolving conversations. Unfortunately, traditional automatic speech recognition (ASR) system…
Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition
David M. Chan, Shalini Ghosh, Hitesh Tulsiani +2
While word error rates of automatic speech recognition (ASR) systems have consistently fallen, natural language understanding (NLU) applications built on top of ASR systems still a…
Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models
Prakhar Swarup, Debmalya Chakrabarty, Ashtosh Sapru +3
Semi-supervised learning (SSL) is an active area of research which aims to utilize unlabelled data in order to improve the accuracy of speech recognition systems. The current study…