Egor Lakomkin

According to our database, Egor Lakomkin authored at least 26 papers between 2011 and 2024.

Collaborative distances:

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

2024

Efficient Streaming LLM for Speech Recognition.

Junteng Jia, Gil Keren, Wei Zhou, Egor Lakomkin, Xiaohui Zhang, Chunyang Wu, Frank Seide, Jay Mahadeokar, Ozlem Kalinli

CoRR, 2024

Frozen Large Language Models Can Perceive Paralinguistic Aspects of Speech.

Wonjune Kang, Junteng Jia, Chunyang Wu, Wei Zhou, Egor Lakomkin, Yashesh Gaur, Leda Sari, Suyoun Kim, Ke Li, Jay Mahadeokar, Ozlem Kalinli

CoRR, 2024

M-BEST-RQ: A Multi-Channel Speech Foundation Model for Smart Glasses.

Yufeng Yang, Desh Raj, Ju Lin, Niko Moritz, Junteng Jia, Gil Keren, Egor Lakomkin, Yiteng Huang, Jacob Donley, Jay Mahadeokar, Ozlem Kalinli

CoRR, 2024

The Llama 3 Herd of Models.

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 2024

AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs.

Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Ke Li, Junteng Jia, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

End-to-End Speech Recognition Contextualization with Large Language Models.

Egor Lakomkin, Chunyang Wu, Yassir Fathullah, Ozlem Kalinli, Michael L. Seltzer, Christian Fuegen

Proceedings of the IEEE International Conference on Acoustics, 2024

Prompting Large Language Models with Speech Recognition Abilities.

Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Ke Li, Jinxi Guo, Wenhan Xiong, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data.

Yassir Fathullah, Chunyang Wu, Egor Lakomkin, Junteng Jia, Yuan Shangguan, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer

CoRR, 2023

SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision.

Xubo Liu, Egor Lakomkin, Konstantinos Vougioukas, Pingchuan Ma, Honglie Chen, Ruiming Xie, Morrie Doulaty, Niko Moritz, Jáchym Kolár, Stavros Petridis, Maja Pantic, Christian Fuegen

CoRR, 2023

Egocentric Audio-Visual Noise Suppression.

Roshan Sharma, Weipeng He, Ju Lin, Egor Lakomkin, Yang Liu, Kaustubh Kalgaonkar

Proceedings of the IEEE International Conference on Acoustics, 2023

SynthVSR: Scaling Up Visual Speech RecognitionWith Synthetic Supervision.

Xubo Liu, Egor Lakomkin, Konstantinos Vougioukas, Pingchuan Ma, Honglie Chen, Ruiming Xie, Morrie Doulaty, Niko Moritz, Jáchym Kolár, Stavros Petridis, Maja Pantic, Christian Fuegen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Egocentric Audio-Visual Noise Suppression.

Roshan Sharma, Weipeng He, Ju Lin, Egor Lakomkin, Yang Liu, Kaustubh Kalgaonkar

CoRR, 2022

Being Greedy Does Not Hurt: Sampling Strategies for End-To-End Speech Recognition.

Jahn Heymann, Egor Lakomkin, Leif Rädel

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition.

Egor Lakomkin, Jahn Heymann, Ilya Sklyar, Simon Wiesler

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics.

Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis.

Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter

Proceedings of the International Conference on Robotics and Automation, 2019

2018

On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks.

Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

The OMG-Emotion Behavior Dataset.

Pablo V. A. Barros, Nikhil Churamani, Egor Lakomkin, Henrique Siqueira, Alexander Sutherland, Stefan Wermter

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning.

Egor Lakomkin, Mohammad-Ali Zamani, Cornelius Weber, Sven Magg, Stefan Wermter

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Combining Articulatory Features with End-to-End Learning in Speech Recognition.

Leyuan Qu, Cornelius Weber, Egor Lakomkin, Johannes Twiefel, Stefan Wermter

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Image-to-Text Transduction with Spatial Self-Attention.

Sebastian Springenberg, Egor Lakomkin, Cornelius Weber, Stefan Wermter

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos.

Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017

GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection.

Egor Lakomkin, Chandrakant Bothe, Stefan Wermter

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Reusing Neural Speech Representations for Auditory Emotion Recognition.

Egor Lakomkin, Cornelius Weber, Sven Magg, Stefan Wermter

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Automatically augmenting an emotion dataset improves classification using audio.

Egor Lakomkin, Cornelius Weber, Stefan Wermter

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2011

MVC Web Framework Based on eXist Application Server and XRX Architecture.

Yuriy Gapanyuk, Egor Lakomkin, Sergey Ionkin, Martin Davtyan

Proceedings of the Seventh Spring Researchers Colloquium on Databases and Information Systems, 2011