17 citations · 38 across the 9 of their papers we have counts for
10 papers
Lumos : Empowering Multimodal LLMs with Scene Text Recognition
Ashish Shenoy, Yichao Lu, Srihari Jayakumar +11
We introduce Lumos, the first end-to-end multimodal question-answering system with text understanding capabilities. At the core of Lumos is a Scene Text Recognition (STR) component…
Now It Sounds Like You: Learning Personalized Vocabulary On Device
Sid Wang, Ashish Shenoy, Pierce Chuang +1
In recent years, Federated Learning (FL) has shown significant advancements in its ability to perform various natural language processing (NLP) tasks. This work focuses on applying…
Green Federated Learning
Ashkan Yousefpour, Shen Guo, Ashish Shenoy +7
The rapid progress of AI is fueled by increasingly large and computationally intensive machine learning models and datasets. As a consequence, the amount of compute used in trainin…
Prediction of the outcome of a Twenty-20 Cricket Match : A Machine Learning Approach
Ashish V Shenoy, Arjun Singhvi, Shruthi Racha +1
Twenty20 cricket, sometimes written Twenty-20, and often abbreviated to T20, is a short form of cricket. In a Twenty20 game the two teams of 11 players have a single innings each,…
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati +3
Automatic Speech Recognition (ASR) systems have found their use in numerous industrial applications in very diverse domains creating a need to adapt to new domains with small memor…
Prompt-tuning in ASR systems for efficient domain-adaptation
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati +3
Automatic Speech Recognition (ASR) systems have found their use in numerous industrial applications in very diverse domains. Since domain-specific systems perform better than their…
Remember the context! ASR slot error correction through memorization
Dhanush Bekal, Ashish Shenoy, Monica Sunkara +2
Accurate recognition of slot values such as domain specific words or named entities by automatic speech recognition (ASR) systems forms the core of the Goal-oriented Dialogue Syste…
ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling
Ashish Shenoy, Sravan Bodapati, Katrin Kirchhoff
Automatic Speech Recognition (ASR) robustness toward slot entities are critical in e-commerce voice assistants that involve monetary transactions and purchases. Along with effectiv…
Adapting Long Context NLM for ASR Rescoring in Conversational Agents
Ashish Shenoy, Sravan Bodapati, Monica Sunkara +2
Neural Language Models (NLM), when trained and evaluated with context spanning multiple utterances, have been shown to consistently outperform both conventional n-gram language mod…
Contextual Biasing of Language Models for Speech Recognition in Goal-Oriented Conversational Agents
Ashish Shenoy, Sravan Bodapati, Katrin Kirchhoff
Goal-oriented conversational interfaces are designed to accomplish specific tasks and typically have interactions that tend to span multiple turns adhering to a pre-defined structu…