5 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
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,…
Snapping Matters: Context-Aware Onset Refinement for Automatic Music Transcription
Abhirup Saha, Hans-Ulrich Berendes, Meinard Müller +1
Precise note-level annotations are critical for training automatic music transcription (AMT) systems, in particular note-onset labels, which form a core component of many recent AM…