A Multiband Structure based on Hammerstein Model for Nonlinear Audio System Identification. - Alessandro Terenzi; Valeria Bruschi; Samuele Cornell; Andrea Castellani; Stefania Cecchi (ISPA, 2019)

The Speed Submission to DIHARD II: Contributions & Lessons Learned. - Md. Sahidullah; Jose Patino 001; Samuele Cornell; Ruiqing Yin; Sunit Sivasankaran; Hervé Bredin; Pavel Korshunov; Alessio Brutti; Romain Serizel; Emmanuel Vincent 001; Nicholas W. D. Evans; Sébastien Marcel; et al. (CoRR, 2019)

Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. - Samuele Cornell; Michel Olvera; Manuel Pariente; Giovanni Pepe; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (DCASE, 2020)

Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. - Samuele Cornell; Michel Olvera; Manuel Pariente; Giovanni Pepe; Emanuele Principi; Leonardo Gabrielli; Stefano Squartini (DCASE, 2020)

Filterbank Design for End-to-end Speech Separation. - Manuel Pariente; Samuele Cornell; Antoine Deleforge; Emmanuel Vincent 001 (ICASSP, 2020)

A Novel Adversarial Training Scheme for Deep Neural Network based Speech Enhancement. - Samuele Cornell; Emanuele Principi; Stefano Squartini (IJCNN, 2020)

Who Cried When: Infant Cry Diarization with Dilated Fully-Convolutional Neural Networks. - Marco Severini; Emanuele Principi; Samuele Cornell; Leonardo Gabrielli; Stefano Squartini (IJCNN, 2020)

Detecting and Counting Overlapping Speakers in Distant Speech Scenarios. - Samuele Cornell; Maurizio Omologo; Stefano Squartini; Emmanuel Vincent 001 (INTERSPEECH, 2020)

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 Stöter; Mathieu Hu; Juan M. Martín-Doñas; David Ditter; Ariel Frank; et al. (INTERSPEECH, 2020)

The Impact of Non-Target Events in Synthetic Soundscapes for Sound Event Detection. - Francesca Ronchini; Romain Serizel; Nicolas Turpault; Samuele Cornell (DCASE, 2021)

Graph-based Representation of Audio signals for Sound Event Classification. - Carlo Aironi; Samuele Cornell; Emanuele Principi; Stefano Squartini (EUSIPCO, 2021)

Attention Is All You Need In Speech Separation. - Cem Subakan; Mirco Ravanelli; Samuele Cornell; Mirko Bronzi; Jianyuan Zhong (ICASSP, 2021)

Learning to Rank Microphones for Distant Speech Recognition. - Samuele Cornell; Alessio Brutti; Marco Matassoni; Stefano Squartini (Interspeech, 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; et al. (CoRR, 2021)

Tackling the Linear Sum Assignment Problem with Graph Neural Networks. - Carlo Aironi; Samuele Cornell; Stefano Squartini (AII, 2022)

Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. - Francesca Ronchini; Samuele Cornell; Romain Serizel; Nicolas Turpault; Eduardo Fonseca; Daniel P. W. Ellis (DCASE, 2022)

Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. - Carlo Aironi; Samuele Cornell; Emanuele Principi; Stefano Squartini (EUSIPCO, 2022)

Learning Filterbanks for End-to-End Acoustic Beamforming. - Samuele Cornell; Manuel Pariente; François Grondin; Stefano Squartini (ICASSP, 2022)

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 001; Shinji Watanabe 001 (ICASSP, 2022)

Real-M: Towards Speech Separation on Real Mixtures. - Cem Subakan; Mirco Ravanelli; Samuele Cornell; François Grondin (ICASSP, 2022)

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 001; Yu Tsao 001; Yanmin Qian; et al. (INTERSPEECH, 2022)

Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection. - Samuele Cornell; Thomas Balestri; Thibaud Sénéchal (SLT, 2022)

End-to-End Integration of Speech Recognition, Dereverberation, Beamforming, and Self-Supervised Learning Representation. - Yoshiki Masuyama; Xuankai Chang; Samuele Cornell; Shinji Watanabe 001; Nobutaka Ono (SLT, 2022)

Low-Latency Speech Separation Guided Diarization for Telephone Conversations. - Giovanni Morrone; Samuele Cornell; Desh Raj; Luca Serafini; Enrico Zovato; Alessio Brutti; Stefano Squartini (SLT, 2022)

On Using Transformers for Speech-Separation. - Cem Subakan; Mirco Ravanelli; Samuele Cornell; François Grondin; Mirko Bronzi (CoRR, 2022)

Resource-Efficient Separation Transformer. - Cem Subakan; Mirco Ravanelli; Samuele Cornell; Frédéric Lepoutre; François Grondin (CoRR, 2022)

Overlapped Speech Detection and speaker counting using distant microphone arrays. - Samuele Cornell; Maurizio Omologo; Stefano Squartini; Emmanuel Vincent 001 (Comput. Speech Lang., 2022)

A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment. - Carlo Aironi; Samuele Cornell; Luca Serafini; Stefano Squartini (EUSIPCO, 2023)

Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. - Samuele Cornell; Zhong-Qiu Wang 001; Yoshiki Masuyama; Shinji Watanabe 001; Manuel Pariente; Nobutaka Ono; Stefano Squartini (ICASSP, 2023)

Performance Above All? Energy Consumption vs. Performance, a Study on Sound Event Detection with Heterogeneous Data. - Romain Serizel; Samuele Cornell; Nicolas Turpault (ICASSP, 2023)

TF-GRIDNET: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation. - Zhong-Qiu Wang 001; Samuele Cornell; Shukjae Choi; Younglo Lee; Byeong-Yeol Kim; Shinji Watanabe 001 (ICASSP, 2023)

FNeural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated full- and sub-band Modeling. - Zhong-Qiu Wang 001; Samuele Cornell; Shukjae Choi; Younglo Lee; Byeong-Yeol Kim; Shinji Watanabe 001 (ICASSP, 2023)

A Score-aware Generative Approach for Music Signals Inpainting. - Carlo Aironi; Samuele Cornell; Leonardo Gabrielli; Stefano Squartini (IS2, 2023)

Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation. - Yoshiki Masuyama; Xuankai Chang; Wangyou Zhang; Samuele Cornell; Zhong-Qiu Wang 001; Nobutaka Ono; Yanmin Qian; Shinji Watanabe 001 (WASPAA, 2023)

Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge. - Samuele Cornell; Zhong-Qiu Wang 001; Yoshiki Masuyama; Shinji Watanabe 001; Manuel Pariente; Nobutaka Ono (CoRR, 2023)

Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling. - Zhong-Qiu Wang 001; Samuele Cornell; Shukjae Choi; Younglo Lee; Byeong-Yeol Kim; Shinji Watanabe 001 (CoRR, 2023)

The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. - Samuele Cornell; Matthew Wiesner; Shinji Watanabe 001; Desh Raj; Xuankai Chang; Paola García 001; Yoshiki Masuyama; Zhong-Qiu Wang 001; Stefano Squartini; Sanjeev Khudanpur (CoRR, 2023)

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch. - Jeff Hwang; Moto Hira; Caroline Chen; Xiaohui Zhang 007; Zhaoheng Ni; Guangzhi Sun; Pingchuan Ma 001; Ruizhe Huang; Vineel Pratap; Yuekai Zhang; Anurag Kumar 003; Chin-Yun Yu; et al. (CoRR, 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)

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation. - Zhong-Qiu Wang 001; Samuele Cornell; Shukjae Choi; Younglo Lee; Byeong-Yeol Kim; Shinji Watanabe 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings. - Luca Serafini; Samuele Cornell; Giovanni Morrone; Enrico Zovato; Alessio Brutti; Stefano Squartini (Comput. Speech Lang., 2023)

Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing (espnet-v.202310). - Yen-Ju Lu; Xuankai Chang; Chenda Li; Wangyou Zhang; Samuele Cornell; Zhaoheng Ni; Yoshiki Masuyama; Brian Yan; Robin Scheibler; Zhong-Qiu Wang 001; Yu Tsao 001; Yanmin Qian; et al. (Zenodo, 2023)

Software Design and User Interface of ESPnet-SE++: Speech Enhancement for Robust Speech Processing. - Yen-Ju Lu; Xuankai Chang; Chenda Li; Wangyou Zhang; Samuele Cornell; Zhaoheng Ni; Yoshiki Masuyama; Brian Yan; Robin Scheibler; Zhong-Qiu Wang 001; Yu Tsao 001; Yanmin Qian; et al. (J. Open Source Softw., 2023)

One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. - Samuele Cornell; Jee-Weon Jung; Shinji Watanabe 001; Stefano Squartini (ICASSP, 2024)

Resource-Efficient Separation Transformer. - Luca Della Libera; Cem Subakan; Mirco Ravanelli; Samuele Cornell; Frédéric Lepoutre; François Grondin (ICASSP, 2024)

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 001; Tim Fingscheidt; Yanmin Qian (INTERSPEECH, 2024)

Diffusion-Based Generative Modeling With Discriminative Guidance for Streamable Speech Enhancement. - Chenda Li; Samuele Cornell; Shinji Watanabe 001; Yanmin Qian (SLT, 2024)

ESPnet-EZ: Python-Only ESPnet For Easy Fine-Tuning And Integration. - Masao Someki; Kwanghee Choi; Siddhant Arora; William Chen; Samuele Cornell; Jionghao Han; Yifan Peng 003; Jiatong Shi; Vaibhav Srivastav; Shinji Watanabe 001 (SLT, 2024)

URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. - Wangyou Zhang; Robin Scheibler; Kohei Saijo; Samuele Cornell; Chenda Li; Zhaoheng Ni; Anurag Kumar 003; Jan Pirklbauer; Marvin Sach; Shinji Watanabe 001; Tim Fingscheidt; Yanmin Qian (CoRR, 2024)

DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels. - Samuele Cornell; Janek Ebbers; Constance Douwes; Irene Martín-Morató; Manu Harju; Annamaria Mesaros; Romain Serizel (CoRR, 2024)

The CHiME-8 DASR Challenge for Generalizable and Array Agnostic Distant Automatic Speech Recognition and Diarization. - Samuele Cornell; Taejin Park; Steve Huang; Christoph Böddeker; Xuankai Chang; Matthew Maciejewski; Matthew Wiesner; Paola García 001; Shinji Watanabe 001 (CoRR, 2024)

Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition. - Samuele Cornell; Jordan Darefsky; Zhiyao Duan; Shinji Watanabe 001 (CoRR, 2024)

End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations. - Giovanni Morrone; Samuele Cornell; Luca Serafini; Enrico Zovato; Alessio Brutti; Stefano Squartini (Speech Commun., 2024)

A Graph-Based Neural Approach to Linear Sum Assignment Problems. - Carlo Aironi; Samuele Cornell; Stefano Squartini (Int. J. Neural Syst., 2024)

Investigation of Spatial Self-Supervised Learning and Its Application to Target Speaker Speech Recognition. - Yoshiaki Bando; Samuele Cornell; Satoru Fukayama; Shinji Watanabe 001 (ICASSP, 2025)

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 003; et al. (CoRR, 2025)

ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation. - Jiatong Shi; Yifan Cheng; Bo-Hao Su; Hye-jin Shim; Jinchuan Tian; Samuele Cornell; Yiwen Zhao; Siddhant Arora; Shinji Watanabe 001 (CoRR, 2025)

Lessons Learned from the URGENT 2024 Speech Enhancement Challenge. - Wangyou Zhang; Kohei Saijo; Samuele Cornell; Robin Scheibler; Chenda Li; Zhaoheng Ni; Anurag Kumar 003; Marvin Sach; Wei Wang 010; Yihui Fu; Shinji Watanabe 001; Tim Fingscheidt; et al. (CoRR, 2025)

Less is More: Data Curation Matters in Scaling Speech Enhancement. - Chenda Li; Wangyou Zhang; Wei Wang 010; Robin Scheibler; Kohei Saijo; Samuele Cornell; Yihui Fu; Marvin Sach; Zhaoheng Ni; Anurag Kumar 003; Tim Fingscheidt; Shinji Watanabe 001; et al. (CoRR, 2025)

URGENT-PK: Perceptually-Aligned Ranking Model Designed for Speech Enhancement Competition. - Jiahe Wang; Chenda Li; Wei Wang 010; Wangyou Zhang; Samuele Cornell; Marvin Sach; Robin Scheibler; Kohei Saijo; Yihui Fu; Zhaoheng Ni; Anurag Kumar 003; Tim Fingscheidt; et al. (CoRR, 2025)

OpenBEATs: A Fully Open-Source General-Purpose Audio Encoder. - Shikhar Bharadwaj; Samuele Cornell; Kwanghee Choi; Satoru Fukayama; Hye-jin Shim; Soham Deshmukh; Shinji Watanabe 001 (CoRR, 2025)

Recent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challenges. - Samuele Cornell; Christoph Boeddeker; Taejin Park; He Huang 012; Desh Raj; Matthew Wiesner; Yoshiki Masuyama; Xuankai Chang; Zhongqiu Wang 001; Stefano Squartini; Paola García 001; Shinji Watanabe 001 (CoRR, 2025)

An end-to-end integration of speech separation and recognition with self-supervised learning representation. - Yoshiki Masuyama; Xuankai Chang; Wangyou Zhang; Samuele Cornell; Zhong-Qiu Wang; Nobutaka Ono; Yanmin Qian; Shinji Watanabe 001 (Comput. Speech Lang., 2026)