most citedAudio Atlas: Visualizing and Exploring Audio Datasets

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SD2025

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…

cs.SD2025

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…

cs.SD2024★ 1 cited

Audio Atlas: Visualizing and Exploring Audio Datasets

Luca A. Lanzendörfer, Florian Grötschla, Uzeyir Valizada +1

We introduce Audio Atlas, an interactive web application for visualizing audio data using text-audio embeddings. Audio Atlas is designed to facilitate the exploration and analysis…

cs.SD2024

SNAC: Multi-Scale Neural Audio Codec

Hubert Siuzdak, Florian Grötschla, Luca A. Lanzendörfer

Neural audio codecs have recently gained popularity because they can represent audio signals with high fidelity at very low bitrates, making it feasible to use language modeling ap…

cs.SD2024

Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks

Florian Grötschla, Luca Strässle, Luca A. Lanzendörfer +1

Music recommender systems frequently utilize network-based models to capture relationships between music pieces, artists, and users. Although these relationships provide valuable i…

cs.CV2024

AEye: A Visualization Tool for Image Datasets

Florian Grötschla, Luca A. Lanzendörfer, Marco Calzavara +1

Image datasets serve as the foundation for machine learning models in computer vision, significantly influencing model capabilities, performance, and biases alongside architectural…