Deep Learning Based Source Separation Applied To Choir Ensembles. - Darius Petermann; Pritish Chandna; Helena Cuesta; Jordi Bonada; Emilia Gómez (ISMIR, 2020)

Harp-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding. - Darius Petermann; Seungkwon Beack; Minje Kim (WASPAA, 2021)

Spain-Net: Spatially-Informed Stereophonic Music Source Separation. - Darius Petermann; Minje Kim (ICASSP, 2022)

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks. - Darius Petermann; Gordon Wichern; Zhong-Qiu Wang 001; Jonathan Le Roux (ICASSP, 2022)

Native Multi-Band Audio Coding Within Hyper-Autoencoded Reconstruction Propagation Networks. - Darius Petermann; Inseon Jang; Minje Kim (ICASSP, 2023)

Hyperbolic Audio Source Separation. - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Jonathan Le Roux (ICASSP, 2023)

Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. - Darius Petermann; Gordon Wichern; Aswin Shanmugam Subramanian; Zhong-Qiu Wang 001; Jonathan Le Roux (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Librispeech Slakh Unmix (LSX). - Darius Petermann; Gordon Wichern; Jonathan Le Roux (Zenodo, 2023)

Hyperbolic Distance-Based Speech Separation. - Darius Petermann; Minje Kim (ICASSP, 2024)

VERSA: A Versatile Evaluation Toolkit for Speech, Audio, and Music. - 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; et al. (CoRR, 2024)

Seeing Sound: Assembling Sounds from Visuals for Audio-to-Image Generation. - Darius Petermann; Mahdi M. Kalayeh (CoRR, 2025)

Discrete Audio Tokens: More Than a Survey! - Pooneh Mousavi; Gallil Maimon; Adel Moumen; Darius Petermann; Jiatong Shi; Haibin Wu; Haici Yang; Anastasia Kuznetsova; Artem Ploujnikov; Ricard Marxer; Bhuvana Ramabhadran; Benjamin Elizalde; et al. (CoRR, 2025)