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eess.AS2025
SALAD-VAE: Semantic Audio Compression with Language-Audio Distillation
Sebastian Braun, Hannes Gamper, Dimitra Emmanouilidou
Modern generative and multimodal models increasingly rely on compact latent representations that trade and balance semantic richness with high-fidelity reconstruction. We introduce…
eess.AS2025
Make Some Noise: Towards LLM audio reasoning and generation using sound tokens
Shivam Mehta, Nebojsa Jojic, Hannes Gamper
Integrating audio comprehension and generation into large language models (LLMs) remains challenging due to the continuous nature of audio and the resulting high sampling rates. He…
eess.AS2025
Distillation and Pruning for Scalable Self-Supervised Representation-Based Speech Quality Assessment
Benjamin Stahl, Hannes Gamper
In this paper, we investigate distillation and pruning methods to reduce model size for non-intrusive speech quality assessment based on self-supervised representations. Our experi…