3 citations · 7 across the 17 of their papers we have counts for
6 papers · 1 filter
Multi-bit Audio Watermarking
Luca A. Lanzendörfer, Kyle Fearne, Florian Grötschla +1
We present Timbru, a post-hoc audio watermarking model that achieves state-of-the-art robustness and imperceptibility trade-offs without training an embedder-detector model. Given…
Bias beyond Borders: Global Inequalities in AI-Generated Music
Ahmet Solak, Florian Grötschla, Luca A. Lanzendörfer +1
While recent years have seen remarkable progress in music generation models, research on their biases across countries, languages, cultures, and musical genres remains underexplore…
SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
Amir Dellali, Luca A. Lanzendörfer, Florian Grötschla +1
We propose SALSA-V, a multimodal video-to-audio generation model capable of synthesizing highly synchronized, high-fidelity long-form audio from silent video content. Our approach…
Benchmarking Diarization Models
Luca A. Lanzendörfer, Florian Grötschla, Cesare Blaser +1
Speaker diarization is the task of partitioning audio into segments according to speaker identity, answering the question of "who spoke when" in multi-speaker conversation recordin…
Benchmarking Music Generation Models and Metrics via Human Preference Studies
Florian Grötschla, Ahmet Solak, Luca A. Lanzendörfer +1
Recent advancements have brought generated music closer to human-created compositions, yet evaluating these models remains challenging. While human preference is the gold standard…
High-Fidelity Music Vocoder using Neural Audio Codecs
Luca A. Lanzendörfer, Florian Grötschla, Michael Ungersböck +1
While neural vocoders have made significant progress in high-fidelity speech synthesis, their application on polyphonic music has remained underexplored. In this work, we propose D…