Samuele Cornell

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 67

Top Topics

Speech Enhancement

Event Detection

Top Venues

Publications

Samuele Cornell, Taejin Park, Steve Huang, Christoph Böddeker, Xuankai Chang, Matthew Maciejewski, Matthew Wiesner, Paola García, Shinji Watanabe
The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization. CoRR (2024)
Giovanni Morrone, Samuele Cornell, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations. Speech Commun. 161 (2024)
Samuele Cornell, Janek Ebbers, Constance Douwes, Irene Martín-Morató, Manu Harju, Annamaria Mesaros, Romain Serizel
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels. CoRR (2024)
Chenda Li, Samuele Cornell, Shinji Watanabe, Yanmin Qian
Diffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech Enhancement. CoRR (2024)
Luca Della Libera, Cem Subakan, Mirco Ravanelli, Samuele Cornell, Frédéric Lepoutre, François Grondin
Resource-Efficient Separation Transformer. ICASSP (2024)
Samuele Cornell, Jee-Weon Jung, Shinji Watanabe, Stefano Squartini
One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. ICASSP (2024)
Carlo Aironi, Samuele Cornell, Stefano Squartini
A Graph-Based Neural Approach to Linear Sum Assignment Problems. Int. J. Neural Syst. 34 (3) (2024)
Wangyou Zhang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Chenda Li, Zhaoheng Ni, Anurag Kumar, Jan Pirklbauer, Marvin Sach, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. CoRR (2024)
Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation. CoRR (2023)
Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao, Robin Scheibler, Samuele Cornell, Sean Kim, Stavros Petridis
TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch. CoRR (2023)
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
Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing. J. Open Source Softw. 8 (91) (2023)
Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin, Mirko Bronzi
Exploring Self-Attention Mechanisms for Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Luca Serafini, Samuele Cornell, Giovanni Morrone, Enrico Zovato, Alessio Brutti, Stefano Squartini
An Experimental Review of Speaker Diarization methods with application to Two-Speaker Conversational Telephone Speech recordings. CoRR (2023)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling. CoRR (2023)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. ICASSP (2023)
Giovanni Morrone, Samuele Cornell, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
End-to-End Integration of Speech Separation and Voice Activity Detection for Low-Latency Diarization of Telephone Conversations. CoRR (2023)
Samuele Cornell, Jee-weon Jung, Shinji Watanabe, Stefano Squartini
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. CoRR (2023)
Romain Serizel, Samuele Cornell, Nicolas Turpault
Performance Above All? Energy Consumption vs. Performance, a Study on Sound Event Detection with Heterogeneous Data. ICASSP (2023)
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge. CoRR (2023)
Luca Serafini, Samuele Cornell, Giovanni Morrone, Enrico Zovato, Alessio Brutti, Stefano Squartini
An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings. Comput. Speech Lang. 82 (2023)
Samuele Cornell, Matthew Wiesner, Shinji Watanabe, Desh Raj, Xuankai Chang, Paola García, Yoshiki Masuyama, Zhong-Qiu Wang, Stefano Squartini, Sanjeev Khudanpur
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. CoRR (2023)
Yoshiki Masuyama, Xuankai Chang, Wangyou Zhang, Samuele Cornell, Zhong-Qiu Wang, Nobutaka Ono, Yanmin Qian, Shinji Watanabe
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation. WASPAA (2023)
Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini
Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. ICASSP (2023)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling. ICASSP (2023)
Carlo Aironi, Samuele Cornell, Luca Serafini, Stefano Squartini
A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment. EUSIPCO (2023)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Giovanni Morrone, Samuele Cornell, Desh Raj, Luca Serafini, Enrico Zovato, Alessio Brutti, Stefano Squartini
Low-Latency Speech Separation Guided Diarization for Telephone Conversations. SLT (2022)
Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin, Mirko Bronzi
On Using Transformers for Speech-Separation. CoRR (2022)
Carlo Aironi, Samuele Cornell, Stefano Squartini
Tackling the Linear Sum Assignment Problem with Graph Neural Networks. AII (2022)
Yoshiki Masuyama, Xuankai Chang, Samuele Cornell, Shinji Watanabe, Nobutaka Ono
End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation. CoRR (2022)
Samuele Cornell, Thomas Balestri, Thibaud Sénéchal
Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection. SLT (2022)
Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe
Towards Low-Distortion Multi-Channel Speech Enhancement: The ESPNET-Se Submission to the L3DAS22 Challenge. ICASSP (2022)
Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
Learning Filterbanks for End-to-End Acoustic Beamforming. ICASSP (2022)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. CoRR (2022)
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
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. CoRR (2022)
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
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding. INTERSPEECH (2022)
Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini
Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. EUSIPCO (2022)
Yen-Ju Lu, Samuele Cornell, Xuankai Chang, Wangyou Zhang, Chenda Li, Zhaoheng Ni, Zhong-Qiu Wang, Shinji Watanabe
Towards Low-distortion Multi-channel Speech Enhancement: The ESPNet-SE Submission to The L3DAS22 Challenge. CoRR (2022)
Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent
Overlapped Speech Detection and speaker counting using distant microphone arrays. Comput. Speech Lang. 72 (2022)
Yoshiki Masuyama, Xuankai Chang, Samuele Cornell, Shinji Watanabe, Nobutaka Ono
End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation. SLT (2022)
Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin
Real-M: Towards Speech Separation on Real Mixtures. ICASSP (2022)
Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. DCASE (2022)
Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system. CoRR (2022)
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi, Younglo Lee, Byeong-Yeol Kim, Shinji Watanabe
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. CoRR (2022)
Cem Subakan, Mirco Ravanelli, Samuele Cornell, Frédéric Lepoutre, François Grondin
Resource-Efficient Separation Transformer. CoRR (2022)
Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell
The Impact of Non-Target Events in Synthetic Soundscapes for Sound Event Detection. DCASE (2021)
Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini
Graph-based Representation of Audio signals for Sound Event Classification. EUSIPCO (2021)
Francesca Ronchini, Romain Serizel, Nicolas Turpault, Samuele Cornell
The impact of non-target events in synthetic soundscapes for sound event detection. CoRR (2021)
Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini
Learning to Rank Microphones for Distant Speech Recognition. Interspeech (2021)
Cem Subakan, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi, Jianyuan Zhong
Attention Is All You Need In Speech Separation. ICASSP (2021)
Samuele Cornell, Alessio Brutti, Marco Matassoni, Stefano Squartini
Learning to Rank Microphones for Distant Speech Recognition. CoRR (2021)
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
SpeechBrain: A General-Purpose Speech Toolkit. CoRR (2021)
Samuele Cornell, Thomas Balestri, Thibaud Sénéchal
Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection. CoRR (2021)
Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
Learning Filterbanks for End-to-End Acoustic Beamforming. CoRR (2021)
Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin
REAL-M: Towards Speech Separation on Real Mixtures. CoRR (2021)
Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan M. Martín-Doñas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel Vincent
Asteroid: the PyTorch-based audio source separation toolkit for researchers. CoRR (2020)
Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. DCASE (2020)
Cem Subakan, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi, Jianyuan Zhong
Attention is All You Need in Speech Separation. CoRR (2020)
Marco Severini, Emanuele Principi, Samuele Cornell, Leonardo Gabrielli, Stefano Squartini
Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. IJCNN (2020)
Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. DCASE (2020)
Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan M. Martín-Doñas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel Vincent
Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers. INTERSPEECH (2020)
Samuele Cornell, Emanuele Principi, Stefano Squartini
A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. IJCNN (2020)
Samuele Cornell, Maurizio Omologo, Stefano Squartini, Emmanuel Vincent
Detecting and Counting Overlapping Speakers in Distant Speech Scenarios. INTERSPEECH (2020)
Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent
Filterbank Design for End-to-end Speech Separation. ICASSP (2020)
Alessandro Terenzi, Valeria Bruschi, Samuele Cornell, Andrea Castellani, Stefania Cecchi
A Multiband Structure based on Hammerstein Model for Nonlinear Audio System Identification. ISPA (2019)
Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent
Filterbank design for end-to-end speech separation. CoRR (2019)
Md. Sahidullah, Jose Patino, Samuele Cornell, Ruiqing Yin, Sunit Sivasankaran, Hervé Bredin, Pavel Korshunov, Alessio Brutti, Romain Serizel, Emmanuel Vincent, Nicholas W. D. Evans, Sébastien Marcel, Stefano Squartini, Claude Barras
The Speed Submission to DIHARD II: Contributions & Lessons Learned. CoRR (2019)