2 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
Yuanchao Li, Azalea Gui, Dimitra Emmanouilidou +1
The complex nature of musical emotion introduces inherent bias in both recognition and generation, particularly when relying on a single audio encoder, emotion classifier, or evalu…
Adapting Frechet Audio Distance for Generative Music Evaluation
Azalea Gui, Hannes Gamper, Sebastian Braun +1
The growing popularity of generative music models underlines the need for perceptually relevant, objective music quality metrics. The Frechet Audio Distance (FAD) is commonly used…
Training Audio Captioning Models without Audio
Soham Deshmukh, Benjamin Elizalde, Dimitra Emmanouilidou +3
Automated Audio Captioning (AAC) is the task of generating natural language descriptions given an audio stream. A typical AAC system requires manually curated training data of audi…
Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics
Sandeep Kothinti, Dimitra Emmanouilidou
The analysis, processing, and extraction of meaningful information from sounds all around us is the subject of the broader area of audio analytics. Audio captioning is a recent add…
Predicting word error rate for reverberant speech
Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun +1
Reverberation negatively impacts the performance of automatic speech recognition (ASR). Prior work on quantifying the effect of reverberation has shown that clarity (C50), a parame…