Samuele Cornell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding. | Masao Someki, Chien-Yu Huang, Siddhant Arora, Samuele Cornell, Markus Mller, Nathan Susanj, Rupak Vignesh Swaminathan, Grant P. Strimel, Jing Liu, Shinji Watanabe |
| 2025 | ASRU | Less is More: Data Curation Matters in Scaling Speech Enhancement. | Chenda Li, Wangyou Zhang, Wei Wang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Yihui Fu, Marvin Sach, Zhaoheng Ni, Anurag Kumar, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian |
| 2025 | ASRU | URGENT-PK: Perceptually-Aligned Ranking Model Designed for Speech Enhancement Competition. | Jiahe Wang, Chenda Li, Wei Wang, Wangyou Zhang, Samuele Cornell, Marvin Sach, Robin Scheibler, Kohei Saijo, Yihui Fu, Zhaoheng Ni, Anurag Kumar, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian |
| 2025 | ICASSP | Investigation of Spatial Self-Supervised Learning and Its Application to Target Speaker Speech Recognition. | Yoshiaki Bando, Samuele Cornell, Satoru Fukayama, Shinji Watanabe |
| 2025 | Interspeech | Interspeech 2025 URGENT Speech Enhancement Challenge. | Kohei Saijo, Wangyou Zhang, Samuele Cornell, Robin Scheibler, Chenda Li, Zhaoheng Ni, Anurag Kumar, Marvin Sach, Yihui Fu, Wei Wang, Tim Fingscheidt, Shinji Watanabe |
| 2025 | Interspeech | Scalable Spontaneous Speech Dataset (SSSD): Crowdsourcing Data Collection to Promote Dialogue Research. | Zaid Sheikh, Shuichiro Shimizu, Siddhant Arora, Jiatong Shi, Samuele Cornell, Xinjian Li, Shinji Watanabe |
| 2025 | Interspeech | Lessons Learned from the URGENT 2024 Speech Enhancement Challenge. | Wangyou Zhang, Kohei Saijo, Samuele Cornell, Robin Scheibler, Chenda Li, Zhaoheng Ni, Anurag Kumar, Marvin Sach, Wei Wang, Yihui Fu, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian |
| 2025 | NAACL | ESPnet-SpeechLM: An Open Speech Language Model Toolkit. | Jinchuan Tian, Jiatong Shi, William Chen, Siddhant Arora, Yoshiki Masuyama, Takashi Maekaku, Yihan Wu, Junyi Peng, Shikhar Bharadwaj, Yiwen Zhao, Samuele Cornell, Yifan Peng, Xiang Yue, Chao-Han Huck Yang, Graham Neubig, Shinji Watanabe |
| 2024 | ICASSP | One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. | Samuele Cornell, Jee-Weon Jung, Shinji Watanabe, Stefano Squartini |
| 2024 | ICASSP | Resource-Efficient Separation Transformer. | Luca Della Libera, Cem Subakan, Mirco Ravanelli, Samuele Cornell, Frdric Lepoutre, Franois Grondin |
| 2024 | Interspeech | URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. | Wangyou Zhang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Chenda Li, Zhaoheng Ni, Jan Pirklbauer, Marvin Sach, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian |
| 2023 | ICASSP | Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. | Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini |
| 2023 | ICASSP | Performance Above All? Energy Consumption vs. Performance, a Study on Sound Event Detection with Heterogeneous Data. | Romain Serizel, Samuele Cornell, Nicolas Turpault |
| 2023 | ICASSP | TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. | Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe |
| 2023 | ICASSP | FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling. | Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe |
| 2022 | ICASSP | Learning Filterbanks for End-to-End Acoustic Beamforming. | Samuele Cornell, Manuel Pariente, Franois Grondin, Stefano Squartini |
| 2022 | ICASSP | Towards Low-Distortion Multi-Channel Speech Enhancement: The ESPNET-Se Submission to the L3DAS22 Challenge. | Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe |
| 2022 | ICASSP | Real-M: Towards Speech Separation on Real Mixtures. | Cem Subakan, Mirco Ravanelli, Samuele Cornell, Franois Grondin |
| 2022 | Interspeech | ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. | Yen-Ju Lu, Xuankai Chang, Chenda Li, Wangyou Zhang, Samuele Cornell, Zhaoheng Ni, Yoshiki Masuyama, Brian Yan, Robin Scheibler, Zhong-Qiu Wang, Yu Tsao, Yanmin Qian, Shinji Watanabe |
| 2021 | ICASSP | Attention Is All You Need In Speech Separation. | Cem Subakan, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi, Jianyuan Zhong |
| 2021 | Interspeech | Learning to Rank Microphones for Distant Speech Recognition. | Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini |
| 2020 | ICASSP | Filterbank Design for End-to-end Speech Separation. | Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent |
| 2020 | IJCNN | A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. | Samuele Cornell, Emanuele Principi, Stefano Squartini |
| 2020 | IJCNN | Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. | Marco Severini, Emanuele Principi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini |
| 2020 | Interspeech | Detecting and Counting Overlapping Speakers in Distant Speech Scenarios. | Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent |
| 2020 | Interspeech | Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers. | Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stter, Mathieu Hu, Juan M. Martn-Doas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel Vincent |