MVC Web Framework Based on eXist Application Server and XRX Architecture. - Yuriy Gapanyuk; Egor Lakomkin; Sergey Ionkin; Martin Davtyan (SYRCoDIS, 2011)

Automatically augmenting an emotion dataset improves classification using audio. - Egor Lakomkin; Cornelius Weber; Stefan Wermter (EACL (2), 2017)

Reusing Neural Speech Representations for Auditory Emotion Recognition. - Egor Lakomkin; Cornelius Weber; Sven Magg; Stefan Wermter (IJCNLP(1), 2017)

GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection. - Egor Lakomkin; Chandrakant Bothe; Stefan Wermter (WASSA@EMNLP, 2017)

KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos. - Egor Lakomkin; Sven Magg; Cornelius Weber; Stefan Wermter (EMNLP (Demonstration), 2018)

Image-to-Text Transduction with Spatial Self-Attention. - Sebastian Springenberg; Egor Lakomkin; Cornelius Weber; Stefan Wermter (ESANN, 2018)

Combining Articulatory Features with End-to-End Learning in Speech Recognition. - Leyuan Qu; Cornelius Weber; Egor Lakomkin; Johannes Twiefel; Stefan Wermter (ICANN (3), 2018)

EmoRL: Continuous Acoustic Emotion Classification Using Deep Reinforcement Learning. - Egor Lakomkin; Mohammad-Ali Zamani; Cornelius Weber; Sven Magg; Stefan Wermter (ICRA, 2018)

The OMG-Emotion Behavior Dataset. - Pablo V. A. Barros; Nikhil Churamani; Egor Lakomkin; Henrique Siqueira; Alexander Sutherland; Stefan Wermter (IJCNN, 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 (IROS, 2018)

Incorporating End-to-End Speech Recognition Models for Sentiment Analysis. - Egor Lakomkin; Mohammad-Ali Zamani; Cornelius Weber; Sven Magg; Stefan Wermter (ICRA, 2019)

Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics. - Sebastian Springenberg; Egor Lakomkin; Cornelius Weber; Stefan Wermter (INTERSPEECH, 2019)

Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. - Egor Lakomkin; Jahn Heymann; Ilya Sklyar; Simon Wiesler (INTERSPEECH, 2020)

Being Greedy Does Not Hurt: Sampling Strategies for End-To-End Speech Recognition. - Jahn Heymann; Egor Lakomkin; Leif Rädel (ICASSP, 2022)

Egocentric Audio-Visual Noise Suppression. - Roshan Sharma; Weipeng He; Ju Lin; Egor Lakomkin; Yang Liu 175; Kaustubh Kalgaonkar (CoRR, 2022)

SynthVSR: Scaling Up Visual Speech RecognitionWith Synthetic Supervision. - Xubo Liu; Egor Lakomkin; Konstantinos Vougioukas; Pingchuan Ma 001; Honglie Chen; Ruiming Xie; Morrie Doulaty; Niko Moritz; Jáchym Kolár; Stavros Petridis; Maja Pantic; Christian Fuegen (CVPR, 2023)

Egocentric Audio-Visual Noise Suppression. - Roshan Sharma; Weipeng He; Ju Lin; Egor Lakomkin; Yang Liu; Kaustubh Kalgaonkar (ICASSP, 2023)

SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision. - Xubo Liu; Egor Lakomkin; Konstantinos Vougioukas; Pingchuan Ma 001; Honglie Chen; Ruiming Xie; Morrie Doulaty; Niko Moritz; Jáchym Kolár; Stavros Petridis; Maja Pantic; Christian Fuegen (CoRR, 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)

Prompting Large Language Models with Speech Recognition Abilities. - Yassir Fathullah; Chunyang Wu; Egor Lakomkin; Junteng Jia; Yuan Shangguan; Ke Li 023; Jinxi Guo; Wenhan Xiong; Jay Mahadeokar; Ozlem Kalinli; Christian Fuegen; Mike Seltzer (ICASSP, 2024)

End-to-End Speech Recognition Contextualization with Large Language Models. - Egor Lakomkin; Chunyang Wu; Yassir Fathullah; Ozlem Kalinli; Michael L. Seltzer; Christian Fuegen (ICASSP, 2024)

AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs. - Yassir Fathullah; Chunyang Wu; Egor Lakomkin; Ke Li 023; Junteng Jia; Yuan Shangguan; Jay Mahadeokar; Ozlem Kalinli; Christian Fuegen; Mike Seltzer (NAACL-HLT, 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; et al. (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 023; Jay Mahadeokar; Ozlem Kalinli (CoRR, 2024)

Efficient Streaming LLM for Speech Recognition. - Junteng Jia; Gil Keren; Wei Zhou; Egor Lakomkin; Xiaohui Zhang 007; Chunyang Wu; Frank Seide; Jay Mahadeokar; Ozlem Kalinli (ICASSP, 2025)

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 (ICASSP, 2025)

Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens. - Jinzheng Zhao; Niko Moritz; Egor Lakomkin; Ruiming Xie; Zhiping Xiu; Katerina Zmolíková; Zeeshan Ahmed; Yashesh Gaur; Duc Le; Christian Fuegen (ICASSP, 2025)