Unified Modeling of Multi-Domain Multi-Device ASR Systems

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

Improving RNN-T ASR Performance with Date-Time and Location Awareness

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

Summarizing Event Sequences with Serial Episodes: A Statistical Model and an Application

no code implementations • 1 Apr 2019 • Soumyajit Mitra, P. S. Sastry

By considering text documents as temporal sequences of words, the data mining algorithm can find a set of characteristic episodes for all the training data as a whole.

General Classification Temporal Sequences +2