4 papers
Melody Guidance for Audio Diffusion Models Without Retraining
Cristobal Andrade, Sebastian J. Schlecht, Ben Maman +1
Controlling melody in audio generation normally requires training a conditional generative model on audio paired with pitch curves or MIDI notes. We instead guide an existing uncon…
Adapting Diffusion-Based Music Synthesis to Speech and Singing Voice Conversion
Ben Maman, Frank Zalkow, Hans-Ulrich Berendes +3
Recent diffusion-based generative models have achieved strong results in domain-specific audio generation tasks such as speech, singing, and instrumental music synthesis. However,…
Performance Conditioning for Diffusion-Based Multi-Instrument Music Synthesis
Ben Maman, Johannes Zeitler, Meinard Müller +1
Generating multi-instrument music from symbolic music representations is an important task in Music Information Retrieval (MIR). A central but still largely unsolved problem in thi…
Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond
Michael Krause, Christof Weiß, Meinard Müller
Many tasks in music information retrieval (MIR) involve weakly aligned data, where exact temporal correspondences are unknown. The connectionist temporal classification (CTC) loss…