LabCompass

Darius Petermann

Computer Science · Indiana University

Publications

26

Citations

110

Est. group size

Recurring co-author estimate

Active years

6

Publishing since 2020

Research summary
AI-generated

Darius Petermann works on machine learning methods for processing sound, with a particular focus on audio source separation\u2014the task of isolating individual sounds (such as speech, music, and sound effects) from mixed recordings. Recent work also covers neural audio coding (compressing audio efficiently), tools for evaluating speech and music systems, and generating images from sounds.

Audio source separationSpeech, music, and audio processingNeural audio coding and compressionDeep learning for soundAudio evaluation tools and datasets

Publication activity began around 2020 and was steady at about six papers per year through 2021-2023, with a somewhat lower rate in 2024-2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
1718192020: 2 publications202021: 6 publications6212022: 6 publications6222023: 6 publications6232024: 3 publications242025: 3 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×11
  • Zenodo (CERN European Organization for Nuclear Research)×6
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)×2
  • IEEE/ACM Transactions on Audio Speech and Language Processing×1
  • Frontiers in Signal Processing×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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