Bild_Murgul

M.Sc. Sebastian Murgul

  • Klangio GmbH

    Alter Schlachthof 33

    76131 Karlsruhe

Zu vergebende Arbeiten
Titel Typ Forschungsthema
Estimation of Optimal Transcription Settings from Audio Data Bachelor's Thesis, Master's Thesis Music Information Retrieval, Signal Processing, Deep Learning, Automatic Music Transcription
Estimation of Transcription Confidence using Symbolic Music Language Models Bachelor's Thesis, Master's Thesis Music Information Retrieval, Deep Learning, Symbolic Music Processing
Alignment and Training for Mandolin Transcription Bachelor's Thesis, Master's Thesis Music Information Retrieval, Signal Processing, Automatic Music Transcription, Deep Learning
Analysis of Song Parameters for Content-Based Music Search Bachelor's Thesis Music Information Retrieval, Signal Processing, Audio Analysis, Machine Learning
Multi-Instrument Music Transcription with Source Separation and End-to-End Models Master's Thesis Music Information Retrieval, Signal Processing, Deep Learning, Source Separation, Automatic Music Transcription
Generierung von Instrumentalarrangements unterschiedlichen Schwierigkeitsgrades mit Transformern BA, MA Signalverarbeitung, Deep Learning, Music Information Retrieval

Auf Anfrage interessante Themen im Bereich Musiktranskription möglich.

Publikationen


2025
Joint Transcription of Acoustic Guitar Strumming Directions and Chords
Murgul, S.; Johannes Schimper; Heizmann, M.
2025. Proceedings of the 26th International Society for Music Information Retrieval Conference (ISMIR), Daenjong, Südkorea, 21st-25th September 2025
Exploring Procedural Data Generation for Automatic Acoustic Guitar Fingerpicking Transcription
Murgul, S.; Heizmann, M.
2025. Proceedings of the 6th Conference on AI Music Creativity (AIMC 2025), Brussels, Belgium, September 10th-12th
Beat-Based Rhythm Quantization of MIDI Performances
Maximilian Wachter; Murgul, S.; Heizmann, M.
2025. Late Breaking Demo Papers of the 1st AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA LBDP)
Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture
Murgul, S.; Heizmann, M.
2025. Proceedings of the 22nd Sound and Music Computing Conference (SMC2025), June 5-12, 2022, Saint-Etienne, Institute of Electronic Music and Acoustics (IEM). doi:10.5281/zenodo.15838779
Fine-Tuning MIDI-to-Audio Alignment using a Neural Network on Piano Roll and CQT Representations
Murgul, S.; Reiser, M.; Heizmann, M.; Seibert, C.
2025. arxiv. doi:10.48550/arXiv.2506.22237
Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription
Hamberger, A.; Murgul, S.; Schmidt, J.; Heizmann, M.
2025. Proceedings of the 50th International Computer Music Conference, Boston from June 8 – 14, 2025, 438–445, Composers Society of Singapore
2022
A Multimodal Approach to Acoustic Guitar Strumming
Murgul, S.; Heizmann, M.
2022. Extended Abstracts for the Late-Breaking Demo Session of the 23rd International Society for Music Information Retrieval Conference, Bengaluru, Indien, December 4-8, International Society for Music Information Retrieval
Estimation of Music Recording Quality to Predict Automatic Music Transcription Performance
Schwabe, M.; Hoffmann, T.; Murgul, S.; Heizmann, M.
2022. Smart Multimedia – Third International Conference, ICSM 2022, Marseille, France, August 25–27, 2022, Revised Selected Papers. Ed.: S. Berretti, 322–337, Springer International Publishing. doi:10.1007/978-3-031-22061-6_24
Dual Task Monophonic Singing Transcription
Schwabe, M.; Murgul, S.; Heizmann, M.
2022. Journal of the Audio Engineering Society, 70 (12), 1038–1047. doi:10.17743/jaes.2022.0040