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Darius Petermann
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2020 – today
- 2024
- [c7]Darius Petermann, Minje Kim:
Hyperbolic Distance-Based Speech Separation. ICASSP 2024: 1191-1195 - [i9]Darius Petermann, Minje Kim:
Hyperbolic Distance-Based Speech Separation. CoRR abs/2401.03567 (2024) - [i8]Jiatong Shi, Hye-jin Shim, Jinchuan Tian, Siddhant Arora, Haibin Wu, Darius Petermann, Jia Qi Yip, You Zhang, Yuxun Tang, Wangyou Zhang, Dareen Alharthi, Yichen Huang, Koichi Saito, Jionghao Han, Yiwen Zhao, Chris Donahue, Shinji Watanabe:
VERSA: A Versatile Evaluation Toolkit for Speech, Audio, and Music. CoRR abs/2412.17667 (2024) - 2023
- [j1]Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux:
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2592-2605 (2023) - [c6]Darius Petermann, Inseon Jang, Minje Kim:
Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks. ICASSP 2023: 1-5 - [c5]Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Hyperbolic Audio Source Separation. ICASSP 2023: 1-5 - [i7]Darius Petermann, Inseon Jang, Minje Kim:
Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks. CoRR abs/2303.08005 (2023) - 2022
- [c4]Darius Petermann, Minje Kim:
Spain-Net: Spatially-Informed Stereophonic Music Source Separation. ICASSP 2022: 106-110 - [c3]Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. ICASSP 2022: 526-530 - [i6]Darius Petermann, Minje Kim:
SpaIn-Net: Spatially-Informed Stereophonic Music Source Separation. CoRR abs/2202.07523 (2022) - [i5]Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Hyperbolic Audio Source Separation. CoRR abs/2212.05008 (2022) - [i4]Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux:
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. CoRR abs/2212.07327 (2022) - 2021
- [c2]Darius Petermann, Seungkwon Beack, Minje Kim:
Harp-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. WASPAA 2021: 316-320 - [i3]Darius Petermann, Seungkwon Beack, Minje Kim:
HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. CoRR abs/2107.10843 (2021) - [i2]Darius Petermann, Gordon Wichern, Zhong-Qiu Wang, Jonathan Le Roux:
The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. CoRR abs/2110.09958 (2021) - 2020
- [c1]Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez:
Deep Learning Based Source Separation Applied To Choir Ensembles. ISMIR 2020: 733-739 - [i1]Darius Petermann, Pritish Chandna, Helena Cuesta, Jordi Bonada, Emilia Gómez:
Deep Learning Based Source Separation Applied To Choir Ensembles. CoRR abs/2008.07645 (2020)
Coauthor Index
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