9 citations · 10 across the 4 of their papers we have counts for
5 papers
Unified Modeling of Multi-Domain Multi-Device ASR Systems
Soumyajit Mitra, Swayambhu Nath Ray, Bharat Padi +6
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 d…
Improving RNN-T ASR Performance with Date-Time and Location Awareness
Swayambhu Nath Ray, Soumyajit Mitra, Raghavendra Bilgi +1
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 recogni…
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…
Streaming End-to-End Bilingual ASR Systems with Joint Language Identification
Surabhi Punjabi, Harish Arsikere, Zeynab Raeesy +11
Multilingual ASR technology simplifies model training and deployment, but its accuracy is known to depend on the availability of language information at runtime. Since language ide…
Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition
Surabhi Punjabi, Harish Arsikere, Sri Garimella
Building conversational speech recognition systems for new languages is constrained by the availability of utterances that capture user-device interactions. Data collection is both…