Research interests

• Speech enhancement
• Self-supervised learning
• Knowledge distillation
• Speech quality metrics
• Diffusion models

Publications

1. Julius Richter, Danilo de Oliveira, Timo Gerkmann, "Investigating training objectives for generative speech enhancement", ICASSP, Hyderabad, India, 2025. [doi][arxiv]
2. Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann, "Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech", Preprint, 2024. [arxiv]
3. Danilo de Oliveira, Eric Grinstein, Patrick A. Naylor, Timo Gerkmann, "LASER: Language-Queried Speech Enhancer", IWAENC, Aalborg, Denmark, 2024. [doi]
4. Danilo de Oliveira, Simon Welker, Julius Richter, Timo Gerkmann, "The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement", ISCA Interspeech, Kos, Greece, 2024. [doi][arxiv]
5. Danilo de Oliveira, Timo Gerkmann, "Distilling HuBERT with LSTMs via Decoupled Knowledge Distillation", ICASSP, Seoul, Korea, 2024. [arxiv] 
6. Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Tal Peer, Timo Gerkmann, "On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings", ITG Conference on Speech Communication, Aachen, Germany, 2023. [arxiv]
7. Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann, "Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models", ISCA Interspeech, Dublin, Ireland, 2023. [doi][arxiv]
8. Danilo de Oliveira, Tal Peer, Timo Gerkmann, "Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes", ISCA Interspeech, Incheon, Korea, 2022. [doi][arxiv] [audio]