11 citations · 12 across the 4 of their papers we have counts for
7 papers
Continuous-Token Diffusion for Speaker-Referenced TTS in Multimodal LLMs
Xinlu He, Swayambhu Nath Ray, Harish Mallidi +5
Unified architectures in multimodal large language models (MLLM) have shown promise in handling diverse tasks within a single framework. In the text-to-speech (TTS) task, current M…
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…
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End
Swayambhu Nath Ray, Minhua Wu, Anirudh Raju +7
Comprehending the overall intent of an utterance helps a listener recognize the individual words spoken. Inspired by this fact, we perform a novel study of the impact of explicitly…
Timestamping Documents and Beliefs
Swayambhu Nath Ray
Most of the textual information available to us are temporally variable. In a world where information is dynamic, time-stamping them is a very important task. Documents are a good…
Dating Documents using Graph Convolution Networks
Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray +1
Document date is essential for many important tasks, such as document retrieval, summarization, event detection, etc. While existing approaches for these tasks assume accurate know…
AD3: Attentive Deep Document Dater
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. Unfortunately, for mos…