Samuele Cornell

2.1k total citations · 2 hit papers
43 papers, 730 citations indexed

About

Samuele Cornell is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Samuele Cornell has authored 43 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Signal Processing, 30 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Samuele Cornell's work include Speech and Audio Processing (36 papers), Music and Audio Processing (30 papers) and Speech Recognition and Synthesis (29 papers). Samuele Cornell is often cited by papers focused on Speech and Audio Processing (36 papers), Music and Audio Processing (30 papers) and Speech Recognition and Synthesis (29 papers). Samuele Cornell collaborates with scholars based in Italy, United States and Japan. Samuele Cornell's co-authors include Mirco Ravanelli, Cem Subakan, Mirko Bronzi, Jianyuan Zhong, Shinji Watanabe, Zhong-Qiu Wang, Stefano Squartini, Xuankai Chang, François Grondin and Emmanuel Vincent and has published in prestigious journals such as Speech Communication, Computer Speech & Language and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Samuele Cornell

39 papers receiving 706 citations

Hit Papers

Attention Is All You Need In Speech Separation 2021 2026 2022 2024 2021 2023 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuele Cornell Italy 11 588 485 102 71 45 43 730
Ehsan Variani United States 11 884 1.5× 939 1.9× 63 0.6× 83 1.2× 38 0.8× 22 1.1k
Cem Subakan Canada 8 310 0.5× 265 0.5× 48 0.5× 53 0.7× 25 0.6× 18 434
K. K. Chin United Kingdom 10 426 0.7× 423 0.9× 71 0.7× 34 0.5× 35 0.8× 26 569
Hossein Sameti Iran 14 663 1.1× 577 1.2× 199 2.0× 73 1.0× 48 1.1× 103 848
Gordon Wichern United States 13 396 0.7× 245 0.5× 74 0.7× 165 2.3× 37 0.8× 79 567
B. Raj United States 16 843 1.4× 683 1.4× 181 1.8× 125 1.8× 25 0.6× 29 953
Liang Lu United States 19 851 1.4× 932 1.9× 84 0.8× 72 1.0× 38 0.8× 64 1.1k
Jianyuan Zhong China 2 250 0.4× 217 0.4× 40 0.4× 47 0.7× 21 0.5× 3 352
Mirko Bronzi Italy 4 276 0.5× 257 0.5× 41 0.4× 47 0.7× 22 0.5× 8 417
Thomas Fang Zheng China 16 608 1.0× 813 1.7× 33 0.3× 97 1.4× 24 0.5× 102 972

Countries citing papers authored by Samuele Cornell

Since Specialization
Citations

This map shows the geographic impact of Samuele Cornell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuele Cornell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuele Cornell more than expected).

Fields of papers citing papers by Samuele Cornell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuele Cornell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuele Cornell. The network helps show where Samuele Cornell may publish in the future.

Co-authorship network of co-authors of Samuele Cornell

This figure shows the co-authorship network connecting the top 25 collaborators of Samuele Cornell. A scholar is included among the top collaborators of Samuele Cornell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuele Cornell. Samuele Cornell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Masuyama, Yoshiki, Xuankai Chang, Wangyou Zhang, et al.. (2025). An end-to-end integration of speech separation and recognition with self-supervised learning representation. Computer Speech & Language. 95. 101813–101813.
2.
Bando, Yoshiaki, Samuele Cornell, Satoru Fukayama, & Shinji Watanabe. (2025). Investigation of Spatial Self-Supervised Learning and Its Application to Target Speaker Speech Recognition. 1–5.
3.
Cornell, Samuele, et al.. (2024). End-to-end integration of speech separation and voice activity detection for low-latency diarization of telephone conversations. Speech Communication. 161. 103081–103081. 2 indexed citations
4.
Cornell, Samuele, Jee-weon Jung, Shinji Watanabe, & Stefano Squartini. (2024). One Model to Rule Them All ? Towards End-to-End Joint Speaker Diarization and Speech Recognition. Università Politecnica delle Marche (Università Politecnica delle Marche). 11856–11860. 5 indexed citations
5.
Cornell, Samuele, et al.. (2024). Diffusion-Based Generative Modeling With Discriminative Guidance for Streamable Speech Enhancement. 333–340. 1 indexed citations
6.
Gabrielli, Leonardo, et al.. (2024). Complex-bin2bin: A Latency-Flexible Generative Neural Model for Audio Packet Loss Concealment. IEEE Transactions on Audio Speech and Language Processing. 33. 199–210. 1 indexed citations
7.
8.
Cornell, Samuele, Shinji Watanabe, Desh Raj, et al.. (2023). The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios. 1–6. 31 indexed citations
9.
Cornell, Samuele, Zhong-Qiu Wang, Yoshiki Masuyama, et al.. (2023). Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–2. 5 indexed citations
10.
Cornell, Samuele, T. Balestri, & Thibaud Sénéchal. (2023). Implicit Acoustic Echo Cancellation for Keyword Spotting and Device-Directed Speech Detection. 40. 1052–1058. 2 indexed citations
11.
Cornell, Samuele, et al.. (2023). An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings. Computer Speech & Language. 82. 101534–101534. 2 indexed citations
12.
Subakan, Cem, Mirco Ravanelli, Samuele Cornell, François Grondin, & Mirko Bronzi. (2023). Exploring Self-Attention Mechanisms for Speech Separation. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2169–2180. 18 indexed citations
13.
Cornell, Samuele, et al.. (2023). A Time-Frequency Generative Adversarial Based Method for Audio Packet Loss Concealment. 121–125. 6 indexed citations
14.
Cornell, Samuele, Alessio Brutti, Marco Matassoni, & Stefano Squartini. (2021). Learning to rank microphones for distant speech recognition. Università Politecnica delle Marche (Università Politecnica delle Marche). 2 indexed citations
15.
Subakan, Cem, Mirco Ravanelli, Samuele Cornell, Mirko Bronzi, & Jianyuan Zhong. (2021). Attention Is All You Need In Speech Separation. 21–25. 345 indexed citations breakdown →
16.
Serizel, Romain, et al.. (2021). The impact of non-target events in synthetic soundscapes for sound event detection. OSF Preprints (OSF Preprints). 4 indexed citations
17.
Cornell, Samuele, Maurizio Omologo, Stefano Squartini, & Emmanuel Vincent. (2021). Overlapped Speech Detection and speaker counting using distant microphone arrays. Computer Speech & Language. 72. 101306–101306. 11 indexed citations
18.
Cornell, Samuele, Efthymios Tzinis, Fabian-Robert Stöter, et al.. (2020). Asteroid: the PyTorch-based audio source separation toolkit for\n researchers. arXiv (Cornell University). 36 indexed citations
19.
Cornell, Samuele, S. Sivasankaran, Efthymios Tzinis, et al.. (2020). Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers. arXiv (Cornell University). 2637–2641. 3 indexed citations
20.
Cornell, Samuele, et al.. (2020). Filterbank Design for End-to-end Speech Separation. arXiv (Cornell University). 6364–6368. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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