Abhinav Garg

Orcid: 0000-0001-5082-5500

According to our database1, Abhinav Garg authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Time series forecasting with high stakes: A field study of the air cargo industry.
CoRR, 2024

Data Driven Grapheme-to-Phoneme Representations for a Lexicon-Free Text-to-Speech.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Self-Supervised Accent Learning for Under-Resourced Accents Using Native Language Data.
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.
Comput. Chem. Eng., 2022

Application of Economic Model Predictive Control on a Lab Scale Rotomolding Process.
Proceedings of the American Control Conference, 2022

2021
Distribution Shift in Airline Customer Behavior during COVID-19.
CoRR, 2021

Streaming End-to-End Speech Recognition with Jointly Trained Neural Feature Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2021

A Comparison of Streaming Models and Data Augmentation Methods for Robust Speech Recognition.
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.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

HiTNet: Byte-to-BPE Hierarchical Transcription Network for End-to-End Speech Recognition.
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.
CoRR, 2020

Utterance Confidence Measure for End-to-End Speech Recognition with Applications to Distributed Speech Recognition Scenarios.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Utterance Invariant Training for Hybrid Two-Pass End-to-End Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Streaming On-Device End-to-End ASR System for Privacy-Sensitive Voice-Typing.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Hierarchical Multi-Stage Word-to-Grapheme Named Entity Corrector for Automatic Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Review of On-Device Fully Neural End-to-End Automatic Speech Recognition Algorithms.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Model predictive control of uni-axial rotational molding process.
Comput. Chem. Eng., 2019

Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition System.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Multi-Task Multi-Resolution Char-to-BPE Cross-Attention Decoder for End-to-End Speech Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Threats, Abuses, Flirting, and Blackmail: Gender Inequity in Social Media Voice Forums.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

ReCall: Crowdsourcing on Basic Phones to Financially Sustain Voice Forums.
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.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Improved Multi-Stage Training of Online Attention-Based Encoder-Decoder Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Data-Driven Control of Rotational Molding Process.
Proceedings of the 2019 American Control Conference, 2019

2018
Utilizing big data for batch process modeling and control.
Comput. Chem. Eng., 2018

2017
Subspace-based model identification of a hydrogen plant startup dynamics.
Comput. Chem. Eng., 2017

Subspace identification and predictive control of batch particulate processes.
Proceedings of the 2017 American Control Conference, 2017

Development of a high fidelity and subspace identification model of a hydrogen plant startup dynamics.
Proceedings of the 2017 American Control Conference, 2017


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