The ADASP group of Télécom-Paris has 12 papers accepted at the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025).
This month’s Listen-Lab seminar will feature a conference debrief, where the ADASP group members will share key highlights and their favorite papers from ICASSP 2025.
- Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures
Alain Riou, Antonin Gagneré, Gaëtan Hadjeres, Stefan Lattner, Geoffroy Peeters
- Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
Aurian Quelennec, Pierre Chouteau, Geoffroy Peeters, Slim Essid
- Perceptual Noise-Masking with Music through Deep Spectral Envelope Shaping
Clémentine Berger, Roland Badeau, Slim Essid
- Multiple Choice Learning for Efficient Speech Separation with Many Speakers
David Perera, François Derrida, Théo Mariotte, Gaël Richard, Slim Essid
- O-EENC-SD: Efficient Online End-to-End Neural Clustering for Speaker Diarization
Elio Gruttadauria, Mathieu Fontaine, Jonathan Le Roux, Slim Essid
- Twenty-Five Years of MIR Research: Achievements, Practices, Evaluations, and Future Challenges
Geoffroy Peeters, Zafar Rafii, Magdalena Fuentes, Zhiyao Duan, Emmanouil Benetos, Juhan Nam, Yuki Mitsufuji
- A Hybrid Model for Weakly-Supervised Speech Dereverberation
Louis Bahrman, Mathieu Fontaine, Gaël Richard
- F-StrIPE: Fast Structure-Informed Positional Encoding for Symbolic Music Generation
Manvi Agarwal, Changhong Wang, Gaël Richard
- AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder
Samir Sadok, Simon Leglaive, Laurent Girin, Gaël Richard, Xavier Alameda-Pineda
- Contrastive Knowledge Distillation for Embedding Refinement in Personalized Speech Enhancement
Thomas Serre, Mathieu Fontaine, Éric Benhaim, Slim Essid
- Investigating the Sensitivity of Pre-trained Audio Embeddings to Common Effects
Victor Deng, Changhong Wang, Gaël Richard, Brian McFee
- Learning Source Disentanglement in Neural Audio Codec
Xiaoyu Bie, Xubo Liu, Gaël Richard
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