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Lakomkin, Egor
20  results:
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1

End-to-End Speech Recognition Contextualization with Large ..:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Lakomkin, Egor ; Wu, Chunyang ; Fathullah, Yassir... - p. 12406-12410 , 2024
Link: https://doi.org/10.1109/..
 
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2

Prompting Large Language Models with Speech Recognition Abi..:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Fathullah, Yassir ; Wu, Chunyang ; Lakomkin, Egor... - p. 13351-13355 , 2024
Link: https://doi.org/10.1109/..
 
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3

SynthVSR: Scaling Up Visual Speech RecognitionWith Syntheti..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Liu, Xubo ; Lakomkin, Egor ; Vougioukas, Konstantinos... - p. 18806-18815 , 2023
Link: https://doi.org/10.1109/..
 
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4

Egocentric Audio-Visual Noise Suppression:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Sharma, Roshan ; He, Weipeng ; Lin, Ju... - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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5

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

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Heymann, Jahn ; Lakomkin, Egor ; Radel, Leif - p. 7787-7791 , 2022
Link: https://doi.org/10.1109/..
 
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6

Combining Articulatory Features with End-to-End Learning in..:

, In: Artificial Neural Networks and Machine Learning – ICANN 2018; Lecture Notes in Computer Science,
Qu, Leyuan ; Weber, Cornelius ; Lakomkin, Egor.. - p. 500-510 , 2018
Link: https://doi.org/10.1007/..
 
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7

SynthVSR: Scaling Up Visual Speech Recognition With Synthet..:

Liu, Xubo ; Lakomkin, Egor ; Vougioukas, Konstantinos...
http://arxiv.org/abs/2303.17200.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Towards General-Purpose Speech Abilities for Large Language..:

Fathullah, Yassir ; Wu, Chunyang ; Lakomkin, Egor...
http://arxiv.org/abs/2311.06753.  , 2023
Link: http://arxiv.org/abs/231..
 
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9

Prompting Large Language Models with Speech Recognition Abi..:

Fathullah, Yassir ; Wu, Chunyang ; Lakomkin, Egor...
http://arxiv.org/abs/2307.11795.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

End-to-End Speech Recognition Contextualization with Large ..:

Lakomkin, Egor ; Wu, Chunyang ; Fathullah, Yassir...
http://arxiv.org/abs/2309.10917.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Egocentric Audio-Visual Noise Suppression:

Sharma, Roshan ; He, Weipeng ; Lin, Ju...
http://arxiv.org/abs/2211.03643.  , 2022
Link: http://arxiv.org/abs/221..
 
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12

Subword Regularization: An Analysis of Scalability and Gene..:

Lakomkin, Egor ; Heymann, Jahn ; Sklyar, Ilya.
http://arxiv.org/abs/2008.04034.  , 2020
Link: http://arxiv.org/abs/200..
 
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13

Incorporating End-to-End Speech Recognition Models for Sent..:

Lakomkin, Egor ; Zamani, Mohammad Ali ; Weber, Cornelius..
http://arxiv.org/abs/1902.11245.  , 2019
Link: http://arxiv.org/abs/190..
 
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14

KT-Speech-Crawler: Automatic Dataset Construction for Speec..:

Lakomkin, Egor ; Magg, Sven ; Weber, Cornelius.
http://arxiv.org/abs/1903.00216.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

On the Robustness of Speech Emotion Recognition for Human-R..:

Lakomkin, Egor ; Zamani, Mohammad Ali ; Weber, Cornelius..
http://arxiv.org/abs/1804.02173.  , 2018
Link: http://arxiv.org/abs/180..
 
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