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Samuele Cornell — most-cited papers & profile · Speech Audio
← authors
·
overview
Samuele Cornell
45
papers ·
761
citations ·
17
h-index
Carnegie Mellon University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
SpeechBrain: A General-Purpose Speech Toolkit
2021 · 514 citations
LibriMix: An Open-Source Dataset for Generalizable Speech Separation
2020 · 183 citations
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding
2022 · 28 citations
Resource-Efficient Separation Transformer
2022 · 11 citations
Attention is All You Need in Speech Separation
2020 · 10 citations
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios
2023 · 9 citations
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation
2022 · 7 citations
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge
2023 · 5 citations
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation
2022 · 3 citations
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling
2023 · 3 citations
Interspeech 2025 URGENT Speech Enhancement Challenge
2025 · 2 citations
Exploring Self-Attention Mechanisms for Speech Separation
2022 · 2 citations
Conversational Speech Separation: an Evaluation Study for Streaming Applications
2022 · 2 citations
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition
2023 · 2 citations
ESPnet-SpeechLM: An Open Speech Language Model Toolkit
2025 · 1 citations
Top co-authors
Shinji Watanabe
· 26
Zhong-Qiu Wang
· 10
Chenda Li
· 8
Stefano Squartini
· 8
Wangyou Zhang
· 8
Yanmin Qian
· 7
Yoshiki Masuyama
· 7
Zhaoheng Ni
· 7
Alexander Polok
· 6
Mirco Ravanelli
· 6
Robin Scheibler
· 6
Xuankai Chang
· 6
Topics
Audio Understanding
Speech Enhancement
Speech Recognition
Speech Translation
eess.AS
Speaker Analysis
cs.SD
cs.CL
Text-to-Speech
cs.LG