Danilo de Oliveira

According to our database, Danilo de Oliveira authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models.

Danilo de Oliveira, Julius Richter, Tal Peer, Timo Gerkmann

CoRR, May, 2025

Normalize Everything: A Preconditioned Magnitude-Preserving Architecture for Diffusion-Based Speech Enhancement.

Julius Richter, Danilo de Oliveira, Timo Gerkmann

CoRR, May, 2025

Investigating Training Objectives for Generative Speech Enhancement.

Julius Richter, Danilo de Oliveira, Timo Gerkmann

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech.

Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann

CoRR, 2024

LASER: Language-Queried Speech Enhancer.

Danilo de Oliveira, Eric Grinstein, Patrick A. Naylor, Timo Gerkmann

Proceedings of the 18th International Workshop on Acoustic Signal Enhancement, 2024

The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement.

Danilo de Oliveira, Simon Welker, Julius Richter, Timo Gerkmann

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Distilling Hubert with LSTMs via Decoupled Knowledge Distillation.

Danilo de Oliveira, Timo Gerkmann

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings.

Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Tal Peer, Timo Gerkmann

CoRR, 2023

Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models.

Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes.

Danilo de Oliveira, Tal Peer, Timo Gerkmann

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022