2 citations · 2 across the 1 of their papers we have counts for
5 papers
What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study
Ayush Kumar, Mukuntha Narayanan Sundararaman, Jithendra Vepa
Language Models (LMs) have been ubiquitously leveraged in various tasks including spoken language understanding (SLU). Spoken language requires careful understanding of speaker int…
Phoneme-BERT: Joint Language Modelling of Phoneme Sequence and ASR Transcript
Mukuntha Narayanan Sundararaman, Ayush Kumar, Jithendra Vepa
Recent years have witnessed significant improvement in ASR systems to recognize spoken utterances. However, it is still a challenging task for noisy and out-of-domain data, where s…
Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation
Zishan Ahmad, Mukuntha N S, Asif Ekbal +1
Text generator systems have become extremely popular with the advent of recent deep learning models such as encoder-decoder. Controlling the information and style of the generated…
Sentiment-Aware Recommendation System for Healthcare using Social Media
Alan Aipe, Mukuntha Narayanan Sundararaman, Asif Ekbal
Over the last decade, health communities (known as forums) have evolved into platforms where more and more users share their medical experiences, thereby seeking guidance and inter…
Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection
Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman +2
We introduce a detection framework for dense crowd counting and eliminate the need for the prevalent density regression paradigm. Typical counting models predict crowd density for…