1 citations · 1 across the 3 of their papers we have counts for
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VCNAC: A Variable-Channel Neural Audio Codec for Mono, Stereo, and Surround Sound
Florian Grötschla, Arunasish Sen, Alessandro Lombardi +2
We present VCNAC, a variable channel neural audio codec. Our approach features a single encoder and decoder parametrization that enables native inference for different channel setu…
Evaluating Objective Speech Quality Metrics for Neural Audio Codecs
Luca A. Lanzendörfer, Florian Grötschla
Neural audio codecs have gained recent popularity for their use in generative modeling as they offer high-fidelity audio reconstruction at low bitrates. While human listening studi…
SAO-Instruct: Free-form Audio Editing using Natural Language Instructions
Michael Ungersböck, Florian Grötschla, Luca A. Lanzendörfer +3
Generative models have made significant progress in synthesizing high-fidelity audio from short textual descriptions. However, editing existing audio using natural language has rem…
SALSA-V: Shortcut-Augmented Long-form Synchronized Audio from Videos
Amir Dellali, Luca A. Lanzendörfer, Luca A. Lanzendörfer +3
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…
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…