Federico Landini

38 papers A* 1A 6Misc 7Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiCoW: Diarization-conditioned Whisper for target speaker automatic speech recognition. Comput. Speech Lang. Alexander Polok, Dominik Klement, Martin Kocour, Jiangyu Han, Federico Landini, Bolaji Yusuf, Matthew Wiesner, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget
2025	A	`conf`	Analysis of ABC Frontend Audio Systems for the NIST-SRE24. INTERSPEECH Sara Barahona, Anna Silnova, Ladislav Mosner, Junyi Peng, Oldrich Plchot, Johan Rohdin, Lin Zhang, Jiangyu Han, Petr Pálka, Federico Landini, Lukás Burget, Themos Stafylakis, Sandro Cumani, Dominik Bobos, Miroslav Hlavácek, Martin Kodovsky, Tomás Pavlícek
2025	J	`jnl`	Analysis of ABC Frontend Audio Systems for the NIST-SRE24. CoRR Sara Barahona, Anna Silnova, Ladislav Mosner, Junyi Peng, Oldrich Plchot, Johan Rohdin, Lin Zhang, Jiangyu Han, Petr Pálka, Federico Landini, Lukás Burget, Themos Stafylakis, Sandro Cumani, Dominik Bobos, Miroslav Hlavácek, Martin Kodovsky, Tomás Pavlícek
2025	J	`jnl`	DiCoW: Diarization-Conditioned Whisper for Target Speaker Automatic Speech Recognition. CoRR Alexander Polok, Dominik Klement, Martin Kocour, Jiangyu Han, Federico Landini, Bolaji Yusuf, Matthew Wiesner, Sanjeev Khudanpur, Jan Cernocký, Lukás Burget
2025	J	`jnl`	Ego4D: Around the World in 3,600 Hours of Egocentric Video. IEEE Trans. Pattern Anal. Mach. Intell. Kristen Grauman, Andrew Westbury, Eugene Byrne, Vincent Cartillier, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Devansh Kukreja, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
2025	A	`conf`	Fine-tune Before Structured Pruning: Towards Compact and Accurate Self-Supervised Models for Speaker Diarization. INTERSPEECH Jiangyu Han, Federico Landini, Johan Rohdin, Anna Silnova, Mireia Díez, Jan Cernocký, Lukás Burget
2025	—	`conf`	Joint Training of Speaker Embedding Extractor, Speech and Overlap Detection for Diarization. EUSIPCO Petr Pálka, Federico Landini, Dominik Klement, Mireia Díez, Anna Silnova, Marc Delcroix, Lukás Burget
2025	Misc	`conf`	Leveraging Self-Supervised Learning for Speaker Diarization. ICASSP Jiangyu Han, Federico Landini, Johan Rohdin, Anna Silnova, Mireia Díez, Lukás Burget
2024	J	`jnl`	DiaPer: End-to-End Neural Diarization With Perceiver-Based Attractors. IEEE ACM Trans. Audio Speech Lang. Process. Federico Landini, Mireia Díez, Themos Stafylakis, Lukás Burget
2024	Misc	`conf`	Diacorrect: Error Correction Back-End for Speaker Diarization. ICASSP Jiangyu Han, Federico Landini, Johan Rohdin, Mireia Díez, Lukás Burget, Yuhang Cao, Heng Lu, Jan Cernocký
2024	Misc	`conf`	Discriminative Training of VBx Diarization. ICASSP Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara
2024	—	`conf`	Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? Odyssey Lin Zhang, Themos Stafylakis, Federico Landini, Mireia Díez, Anna Silnova, Lukás Burget
2024	J	`jnl`	Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information? CoRR Lin Zhang, Themos Stafylakis, Federico Landini, Mireia Díez, Anna Silnova, Lukás Burget
2024	J	`jnl`	From Modular to End-to-End Speaker Diarization. CoRR Federico Landini
2024	J	`jnl`	Joint Training of Speaker Embedding Extractor, Speech and Overlap Detection for Diarization. CoRR Petr Pálka, Federico Landini, Dominik Klement, Mireia Díez, Anna Silnova, Marc Delcroix, Lukás Burget
2024	J	`jnl`	Leveraging Self-Supervised Learning for Speaker Diarization. CoRR Jiangyu Han, Federico Landini, Johan Rohdin, Anna Silnova, Mireia Díez, Lukás Burget
2024	A	`conf`	Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio. INTERSPEECH Lin Zhang, Xin Wang, Erica Cooper, Mireia Díez, Federico Landini, Nicholas W. D. Evans, Junichi Yamagishi
2024	J	`jnl`	Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio. CoRR Lin Zhang, Xin Wang, Erica Cooper, Mireia Díez, Federico Landini, Nicholas W. D. Evans, Junichi Yamagishi
2023	J	`jnl`	DiaCorrect: Error Correction Back-end For Speaker Diarization. CoRR Jiangyu Han, Federico Landini, Johan Rohdin, Mireia Díez, Lukás Burget, Yuhang Cao, Heng Lu, Jan Cernocký
2023	J	`jnl`	DiaPer: End-to-End Neural Diarization with Perceiver-Based Attractors. CoRR Federico Landini, Mireia Díez, Themos Stafylakis, Lukás Burget
2023	J	`jnl`	Discriminative Training of VBx Diarization. CoRR Dominik Klement, Mireia Díez, Federico Landini, Lukás Burget, Anna Silnova, Marc Delcroix, Naohiro Tawara
2023	Misc	`conf`	Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. ICASSP Federico Landini, Mireia Díez, Alicia Lozano-Diez, Lukás Burget
2023	A	`conf`	Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. INTERSPEECH Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki
2023	J	`jnl`	Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. CoRR Marc Delcroix, Naohiro Tawara, Mireia Díez, Federico Landini, Anna Silnova, Atsunori Ogawa, Tomohiro Nakatani, Lukás Burget, Shoko Araki
2022	J	`jnl`	Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: Theory, implementation and analysis on standard tasks. Comput. Speech Lang. Federico Landini, Ján Profant, Mireia Díez, Lukás Burget
2022	A*	`conf`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
2022	A	`conf`	From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. INTERSPEECH Federico Landini, Alicia Lozano-Diez, Mireia Díez, Lukás Burget
2022	J	`jnl`	From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. CoRR Federico Landini, Alicia Lozano-Diez, Mireia Díez, Lukás Burget
2022	J	`jnl`	Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. CoRR Federico Landini, Mireia Díez, Alicia Lozano-Diez, Lukás Burget
2021	Misc	`conf`	Analysis of the but Diarization System for Voxconverse Challenge. ICASSP Federico Landini, Ondrej Glembek, Pavel Matejka, Johan Rohdin, Lukás Burget, Mireia Díez, Anna Silnova
2021	J	`jnl`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
2020	J	`jnl`	Analysis of Speaker Diarization Based on Bayesian HMM With Eigenvoice Priors. IEEE ACM Trans. Audio Speech Lang. Process. Mireia Díez, Lukás Burget, Federico Landini, Jan Cernocký
2020	J	`jnl`	Analysis of the BUT Diarization System for VoxConverse Challenge. CoRR Federico Landini, Ondrej Glembek, Pavel Matejka, Johan Rohdin, Lukás Burget, Mireia Díez, Anna Silnova
2020	J	`jnl`	Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks. CoRR Federico Landini, Ján Profant, Mireia Díez, Lukás Burget
2020	Misc	`conf`	But System for the Second Dihard Speech Diarization Challenge. ICASSP Federico Landini, Shuai Wang, Mireia Díez, Lukás Burget, Pavel Matejka, Katerina Zmolíková, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Ondrej Novotný, Hossein Zeinali, Johan Rohdin
2020	Misc	`conf`	Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge. ICASSP Mireia Díez, Lukás Burget, Federico Landini, Shuai Wang, Honza Cernocký
2018	A	`conf`	BUT System for DIHARD Speech Diarization Challenge 2018. INTERSPEECH Mireia Díez, Federico Landini, Lukás Burget, Johan Rohdin, Anna Silnova, Katerina Zmolíková, Ondrej Novotný, Karel Veselý, Ondrej Glembek, Oldrich Plchot, Ladislav Mosner, Pavel Matejka
2017	—	`conf`	Adaptation Approaches for Pronunciation Scoring with Sparse Training Data. SPECOM Federico Landini, Luciana Ferrer, Horacio Franco