Research interests

• Self-supervised learning
• Knowledge distillation
• Speech quality metrics 

Publications

1. Danilo de Oliveira, Timo Gerkmann, "Distilling HuBERT with LSTMs via Decoupled Knowledge Distillation", Preprint, 2023. [arxiv] 
2. 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, Sep. 2023. [arxiv]
3. 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, Aug. 2023. [doi][arxiv]
4. Danilo de Oliveira, Tal Peer, Timo Gerkmann, "Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes", ISCA Interspeech, Incheon, Korea, Sep. 2022. [doi][arxiv] [audio]