Abhinav Garg

According to our database, Abhinav Garg authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-driven grapheme-to-phoneme representations for a lexicon-free text-to-speech.

Abhinav Garg, Jiyeon Kim, Sushil Khyalia, Chanwoo Kim, Dhananjaya Gowda

CoRR, 2024

2023

Self-Supervised Accent Learning for Under-Resourced Accents Using Native Language Data.

Mehul Kumar, Jiyeon Kim, Dhananjaya Gowda, Abhinav Garg, Chanwoo Kim

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Design and application of data driven economic model predictive control for a rotational molding process.

Aswin Chandrasekar, Abhinav Garg, Hassan A. Abdulhussain, Vladimir Gritsichine, Michael R. Thompson, Prashant Mhaskar

Comput. Chem. Eng., 2022

Application of Economic Model Predictive Control on a Lab Scale Rotomolding Process.

Aswin Chandrasekar, Abhinav Garg, Hassan A. Abdulhussain, Vladimir Gritsichine, Michael R. Thompson, Prashant Mhaskar

Proceedings of the American Control Conference, 2022

2021

Distribution Shift in Airline Customer Behavior during COVID-19.

Abhinav Garg, Naman Shukla, Lavanya Marla, Sriram Somanchi

CoRR, 2021

Streaming End-to-End Speech Recognition with Jointly Trained Neural Feature Enhancement.

Chanwoo Kim, Abhinav Garg, Dhananjaya Gowda, Seongkyu Mun, Changwoo Han

Proceedings of the IEEE International Conference on Acoustics, 2021

A Comparison of Streaming Models and Data Augmentation Methods for Robust Speech Recognition.

Jiyeon Kim, Mehul Kumar, Dhananjaya Gowda, Abhinav Garg, Chanwoo Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Semi-Supervised Transfer Learning for Language Expansion of End-to-End Speech Recognition Models to Low-Resource Languages.

Jiyeon Kim, Mehul Kumar, Dhananjaya Gowda, Abhinav Garg, Chanwoo Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

HiTNet: Byte-to-BPE Hierarchical Transcription Network for End-to-End Speech Recognition.

Dhananjaya Gowda, Abhinav Garg, Jiyeon Kim, Mehul Kumar, Sachin Singh, Ashutosh Gupta, Ankur Kumar, Nauman Dawalatabad, Aman Maghan, Shatrughan Singh, Chanwoo Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors.

A. J. Venkatakrishnan, Arjun Puranik, Akash Anand, David Zemmour, Xiang Yao, Xiaoying Wu, Ramakrishna Chilaka, Dariusz K. Murakowski, Kristopher Standish, Bharathwaj Raghunathan, Tyler Wagner, Enrique Garcia-Rivera, Hugo Solomon, Abhinav Garg, Rakesh Barve, Anuli Anyanwu-Ofili, Najat Khan, Venky Soundararajan

CoRR, 2020

Utterance Confidence Measure for End-to-End Speech Recognition with Applications to Distributed Speech Recognition Scenarios.

Ankur Kumar, Sachin Singh, Dhananjaya Gowda, Abhinav Garg, Shatrughan Singh, Chanwoo Kim

Proceedings of the Interspeech 2020, 2020

Utterance Invariant Training for Hybrid Two-Pass End-to-End Speech Recognition.

Dhananjaya Gowda, Ankur Kumar, Kwangyoun Kim, Hejung Yang, Abhinav Garg, Sachin Singh, Jiyeon Kim, Mehul Kumar, Sichen Jin, Shatrughan Singh, Chanwoo Kim

Proceedings of the Interspeech 2020, 2020

Streaming On-Device End-to-End ASR System for Privacy-Sensitive Voice-Typing.

Abhinav Garg, Gowtham P. Vadisetti, Dhananjaya Gowda, Sichen Jin, Aditya Jayasimha, Youngho Han, Jiyeon Kim, Junmo Park, Kwangyoun Kim, Sooyeon Kim, Young-Yoon Lee, Kyungbo Min, Chanwoo Kim

Proceedings of the Interspeech 2020, 2020

Hierarchical Multi-Stage Word-to-Grapheme Named Entity Corrector for Automatic Speech Recognition.

Abhinav Garg, Ashutosh Gupta, Dhananjaya Gowda, Shatrughan Singh, Chanwoo Kim

Proceedings of the Interspeech 2020, 2020

A Review of On-Device Fully Neural End-to-End Automatic Speech Recognition Algorithms.

Chanwoo Kim, Dhananjaya Gowda, Dongsoo Lee, Jiyeon Kim, Ankur Kumar, Sungsoo Kim, Abhinav Garg, Changwoo Han

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Model predictive control of uni-axial rotational molding process.

Abhinav Garg, Felipe P. C. Gomes, Prashant Mhaskar, Michael R. Thompson

Comput. Chem. Eng., 2019

Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition System.

Chanwoo Kim, Minkyu Shin, Abhinav Garg, Dhananjaya Gowda

Proceedings of the Interspeech 2019, 2019

Multi-Task Multi-Resolution Char-to-BPE Cross-Attention Decoder for End-to-End Speech Recognition.

Dhananjaya Gowda, Abhinav Garg, Kwangyoun Kim, Mehul Kumar, Chanwoo Kim

Proceedings of the Interspeech 2019, 2019

Threats, Abuses, Flirting, and Blackmail: Gender Inequity in Social Media Voice Forums.

Aditya Vashistha, Abhinav Garg, Richard J. Anderson, Agha Ali Raza

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

ReCall: Crowdsourcing on Basic Phones to Financially Sustain Voice Forums.

Aditya Vashistha, Abhinav Garg, Richard J. Anderson

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

End-to-End Training of a Large Vocabulary End-to-End Speech Recognition System.

Chanwoo Kim, Minkyoo Shin, Shatrughan Singh, Larry Heck, Dhananjaya Gowda, Sungsoo Kim, Kwangyoun Kim, Mehul Kumar, Jiyeon Kim, Kyungmin Lee, Changwoo Han, Abhinav Garg, Eunhyang Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Improved Multi-Stage Training of Online Attention-Based Encoder-Decoder Models.

Abhinav Garg, Dhananjaya Gowda, Ankur Kumar, Kwangyoun Kim, Mehul Kumar, Chanwoo Kim

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Data-Driven Control of Rotational Molding Process.

Abhinav Garg, Felipe P. C. Gomes, Prashant Mhaskar, Michael R. Thompson

Proceedings of the 2019 American Control Conference, 2019

2018

Utilizing big data for batch process modeling and control.

Abhinav Garg, Prashant Mhaskar

Comput. Chem. Eng., 2018

2017

Subspace-based model identification of a hydrogen plant startup dynamics.

Abhinav Garg, Brandon Corbett, Prashant Mhaskar, Gangshi Hu, Jesus Flores-Cerrillo

Comput. Chem. Eng., 2017

Subspace identification and predictive control of batch particulate processes.

Abhinav Garg, Prashant Mhaskar

Proceedings of the 2017 American Control Conference, 2017

Development of a high fidelity and subspace identification model of a hydrogen plant startup dynamics.

Abhinav Garg, Brandon Corbett, Prashant Mhaskar, Gangshi Hu, Jesus Flores-Cerrillo

Proceedings of the 2017 American Control Conference, 2017