Cem Subakan

According to our database, Cem Subakan authored at least 29 papers between 2020 and 2024.

Collaborative distances:

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

2024

CL-MASR: A Continual Learning Benchmark for Multilingual ASR.

Luca Della Libera, Pooneh Mousavi, Salah Zaiem, Cem Subakan, Mirco Ravanelli

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech.

Eleonora Mancini, Francesco Paissan, Paolo Torroni, Mirco Ravanelli, Cem Subakan

CoRR, 2024

LMAC-TD: Producing Time Domain Explanations for Audio Classifiers.

Eleonora Mancini, Francesco Paissan, Mirco Ravanelli, Cem Subakan

CoRR, 2024

Open-Source Conversational AI with SpeechBrain 1.0.

Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève

CoRR, 2024

DASB - Discrete Audio and Speech Benchmark.

Pooneh Mousavi, Luca Della Libera, Jarod Duret, Artem Ploujnikov, Cem Subakan, Mirco Ravanelli

CoRR, 2024

How Should We Extract Discrete Audio Tokens from Self-Supervised Models?

Pooneh Mousavi, Jarod Duret, Salah Zaiem, Luca Della Libera, Artem Ploujnikov, Cem Subakan, Mirco Ravanelli

CoRR, 2024

Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice.

Shubham Gupta, Mirco Ravanelli, Pascal Germain, Cem Subakan

CoRR, 2024

Listenable Maps for Zero-Shot Audio Classifiers.

Francesco Paissan, Luca Della Libera, Mirco Ravanelli, Cem Subakan

CoRR, 2024

Convolutional Neural Network-Based Reconstruction of Binarized Ultrasound Data for Non-Destructive Testing.

Alexandre Moreau, Angélique Bouchard, Cem Subakan, Guillaume Painchaud-April, Alain Le Duff

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Listenable Maps for Audio Classifiers.

Francesco Paissan, Mirco Ravanelli, Cem Subakan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Resource-Efficient Separation Transformer.

Luca Della Libera, Cem Subakan, Mirco Ravanelli, Samuele Cornell, Frédéric Lepoutre, François Grondin

Proceedings of the IEEE International Conference on Acoustics, 2024

Focal Modulation Networks for Interpretable Sound Classification.

Luca Della Libera, Cem Subakan, Mirco Ravanelli

Proceedings of the IEEE International Conference on Acoustics, 2024

CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds.

David Budaghyan, Charles C. Onu, Arsenii Gorin, Cem Subakan, Doina Precup

Proceedings of the IEEE International Conference on Acoustics, 2024

Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?

Firat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çagatay Yildiz

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming.

Shubham Gupta, Isaac Neri Gomez-Sarmiento, Faez Amjed Mezdari, Mirco Ravanelli, Cem Subakan

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

2023

Exploring Self-Attention Mechanisms for Speech Separation.

Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin, Mirko Bronzi

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Audio Editing with Non-Rigid Text Prompts.

Francesco Paissan, Zhepei Wang, Mirco Ravanelli, Paris Smaragdis, Cem Subakan

CoRR, 2023

CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds.

David Budaghyan, Arsenii Gorin, Cem Subakan, Charles C. Onu

CoRR, 2023

Posthoc Interpretation via Quantization.

Cem Subakan, Francesco Paissan, Mirco Ravanelli

CoRR, 2023

Unsupervised Improvement of Audio-Text Cross-Modal Representations.

Zhepei Wang, Cem Subakan, Krishna Subramani, Junkai Wu, Tiago Tavares, Fábio Ayres, Paris Smaragdis

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice.

Juan Zuluaga-Gomez, Sara Ahmed, Danielius Visockas, Cem Subakan

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

Self-Supervised Learning for Infant Cry Analysis.

Arsenii Gorin, Cem Subakan, Sajjad Abdoli, Junhao Wang, Samantha Latremouille, Charles C. Onu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Learning Representations for New Sound Classes With Continual Self-Supervised Learning.

Zhepei Wang, Cem Subakan, Xilin Jiang, Junkai Wu, Efthymios Tzinis, Mirco Ravanelli, Paris Smaragdis

IEEE Signal Process. Lett., 2022

Resource-Efficient Separation Transformer.

Cem Subakan, Mirco Ravanelli, Samuele Cornell, Frédéric Lepoutre, François Grondin

CoRR, 2022

On Using Transformers for Speech-Separation.

Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin, Mirko Bronzi

CoRR, 2022

Real-M: Towards Speech Separation on Real Mixtures.

Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

SpeechBrain: A General-Purpose Speech Toolkit.

Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, Yoshua Bengio

CoRR, 2021

Attention Is All You Need In Speech Separation.

Cem Subakan, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi, Jianyuan Zhong

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure.

Ran Liu, Cem Subakan, Aishwarya H. Balwani, Jennifer D. Whitesell, Julie Harris, Sanmi Koyejo, Eva L. Dyer

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020