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Oguz Elibol
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2020 – today
- 2022
- [i5]Jie Pu, Yixiong Meng, Oguz Elibol:
Building Synthetic Speaker Profiles in Text-to-Speech Systems. CoRR abs/2202.03125 (2022) - 2021
- [j1]Meryem Simsek
, Oner Orhan
, Marcel Nassar, Oguz Elibol, Hosein Nikopour
:
IAB Topology Design: A Graph Embedding and Deep Reinforcement Learning Approach. IEEE Commun. Lett. 25(2): 489-493 (2021) - [c4]Jie Pu, Yuguang Yang, Ruirui Li, Oguz Elibol, Jasha Droppo:
Scaling Effect of Self-Supervised Speech Models. Interspeech 2021: 1084-1088 - [c3]Jasha Droppo, Oguz Elibol:
Scaling Laws for Acoustic Models. Interspeech 2021: 2576-2580 - [c2]Ruirui Li, Chelsea J.-T. Ju, Zeya Chen, Hongda Mao, Oguz Elibol, Andreas Stolcke:
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition. Interspeech 2021: 4593-4597 - [i4]Jasha Droppo, Oguz Elibol:
Scaling Laws for Acoustic Models. CoRR abs/2106.09488 (2021) - [i3]Ruirui Li, Chelsea J.-T. Ju, Zeya Chen, Hongda Mao, Oguz Elibol, Andreas Stolcke:
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition. CoRR abs/2106.10169 (2021) - 2020
- [i2]Haici Yang, Hongda Mao, Ruirui Li, Chelsea J.-T. Ju, Oguz Elibol:
Non-local convolutional neural networks (nlcnn) for speaker recognition. CoRR abs/2011.03682 (2020)
2010 – 2019
- 2017
- [c1]Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. NIPS 2017: 1742-1752 - [i1]Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao:
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. CoRR abs/1711.02213 (2017)
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last updated on 2024-07-20 20:33 CEST by the dblp team
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