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Sefik Emre Eskimez
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Year
Icassp 2022 deep noise suppression challenge
H Dubey, V Gopal, R Cutler, A Aazami, S Matusevych, S Braun, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
1432022
Unsupervised learning approach to feature analysis for automatic speech emotion recognition
SE Eskimez, Z Duan, W Heinzelman
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
732018
Generating talking face landmarks from speech
SE Eskimez, RK Maddox, C Xu, Z Duan
Latent Variable Analysis and Signal Separation: 14th International …, 2018
582018
Speech driven talking face generation from a single image and an emotion condition
SE Eskimez, Y Zhang, Z Duan
IEEE Transactions on Multimedia 24, 3480-3490, 2021
542021
Personalized speech enhancement: New models and comprehensive evaluation
SE Eskimez, T Yoshioka, H Wang, X Wang, Z Chen, X Huang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
502022
Improving readability for automatic speech recognition transcription
J Liao, S Eskimez, L Lu, Y Shi, M Gong, L Shou, H Qu, M Zeng
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2023
452023
A Federated Approach in Training Acoustic Models.
D Dimitriadis, RG Ken'ichi Kumatani, R Gmyr, Y Gaur, SE Eskimez
Interspeech, 981-985, 2020
382020
Front-end speech enhancement for commercial speaker verification systems
SE Eskimez, P Soufleris, Z Duan, W Heinzelman
Speech Communication 99, 101-113, 2018
342018
Speech super resolution generative adversarial network
SE Eskimez, K Koishida
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
322019
Adversarial training for speech super-resolution
SE Eskimez, K Koishida, Z Duan
IEEE Journal of Selected Topics in Signal Processing 13 (2), 347-358, 2019
292019
Fast real-time personalized speech enhancement: End-to-end enhancement network (E3Net) and knowledge distillation
M Thakker, SE Eskimez, T Yoshioka, H Wang
arXiv preprint arXiv:2204.00771, 2022
262022
GAN-Based Data Generation for Speech Emotion Recognition.
SE Eskimez, D Dimitriadis, R Gmyr, K Kumanati
INTERSPEECH, 3446-3450, 2020
252020
Human listening and live captioning: Multi-task training for speech enhancement
SE Eskimez, X Wang, M Tang, H Yang, Z Zhu, Z Chen, H Wang, ...
arXiv preprint arXiv:2106.02896, 2021
232021
End-to-end generation of talking faces from noisy speech
SE Eskimez, RK Maddox, C Xu, Z Duan
ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020
222020
Noise-resilient training method for face landmark generation from speech
SE Eskimez, RK Maddox, C Xu, Z Duan
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 27-38, 2019
222019
Zero moment point based pace reference generation for quadruped robots via preview control
T Akbas, SE Eskimez, S Ozel, OK Adak, KC Fidan, K Erbatur
2012 12th IEEE International Workshop on Advanced Motion Control (AMC), 1-7, 2012
222012
Emotion classification: how does an automated system compare to naive human coders?
SE Eskimez, K Imade, N Yang, M Sturge-Apple, Z Duan, W Heinzelman
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
212016
Speechx: Neural codec language model as a versatile speech transformer
X Wang, M Thakker, Z Chen, N Kanda, SE Eskimez, S Chen, M Tang, ...
arXiv preprint arXiv:2308.06873, 2023
182023
One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancement
H Taherian, SE Eskimez, T Yoshioka, H Wang, Z Chen, X Huang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
182022
Federated transfer learning with dynamic gradient aggregation
D Dimitriadis, K Kumatani, R Gmyr, Y Gaur, SE Eskimez
arXiv preprint arXiv:2008.02452, 2020
142020
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