no code implementations • 13 May 2022 • Soumyajit Mitra, Swayambhu Nath Ray, Bharat Padi, Arunasish Sen, Raghavendra Bilgi, Harish Arsikere, Shalini Ghosh, Ajay Srinivasamurthy, Sri Garimella
Modern Automatic Speech Recognition (ASR) systems often use a portfolio of domain-specific models in order to get high accuracy for distinct user utterance types across different devices.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 11 Jun 2021 • Swayambhu Nath Ray, Soumyajit Mitra, Raghavendra Bilgi, Sri Garimella
In this paper, we explore the benefits of incorporating context into a Recurrent Neural Network (RNN-T) based Automatic Speech Recognition (ASR) model to improve the speech recognition for virtual assistants.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 9 Jun 2021 • Swayambhu Nath Ray
Thus document dating is a challenging problem which requires inference over the temporal structure of the document alongside the contextual information of the document.
no code implementations • 14 May 2021 • Swayambhu Nath Ray, Minhua Wu, Anirudh Raju, Pegah Ghahremani, Raghavendra Bilgi, Milind Rao, Harish Arsikere, Ariya Rastrow, Andreas Stolcke, Jasha Droppo
On the other hand, a streaming system using per-frame intent posteriors as extra inputs for the RNN-T ASR system yields a 3. 33% relative WERR.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • ACL 2018 • Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar
While existing approaches for these tasks assume accurate knowledge of the document date, this is not always available, especially for arbitrary documents from the Web.
Ranked #1 on Document Dating on APW
1 code implementation • EMNLP 2018 • Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha Talukdar
Knowledge of the creation date of documents facilitates several tasks such as summarization, event extraction, temporally focused information extraction etc.
1 code implementation • EMNLP 2018 • Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar
Knowledge Graph (KG) embedding has emerged as an active area of research resulting in the development of several KG embedding methods.