5 citations · 10 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Remember the context! ASR slot error correction through memorization
Dhanush Bekal, Ashish Shenoy, Monica Sunkara +2
Accurate recognition of slot values such as domain specific words or named entities by automatic speech recognition (ASR) systems forms the core of the Goal-oriented Dialogue Syste…
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning
Nilaksh Das, Sravan Bodapati, Monica Sunkara +2
Training deep neural networks for automatic speech recognition (ASR) requires large amounts of transcribed speech. This becomes a bottleneck for training robust models for accented…
Multimodal Semi-supervised Learning Framework for Punctuation Prediction in Conversational Speech
Monica Sunkara, Srikanth Ronanki, Dhanush Bekal +2
In this work, we explore a multimodal semi-supervised learning approach for punctuation prediction by learning representations from large amounts of unlabelled audio and text data.…