Pooneh Mousavi
CS PhD Student@ Mila/Concordia University
mousavi.pooneh [AT] gmail.com
👩🏻💻 About Me
I am a computer science PhD student at Mila and Concordia University, supervised by Professor Mirco Ravanelli. I have a broad interest in deep learning for Conversational AI. My research focuses on discrete self-supervised learning for speech and audio, exploring its potential to bridge audio and language models. I am also one of the main contributors to the SpeechBrain project, a popular open-source conversational AI toolkit.
📢 News!
We are excited to announce the launch of our DASB leaderboard!
Excited to annouce our paper"How Should We Extract Discrete Audio Tokens from Self-Supervised Models?" has been accepted at Interspeech 2024 for an oral presentation.
Happy to share a preprint from our recent work "DASB - Discrete Audio and Speech Benchmark". Thanks to all my amazing collaborators.
🎓 Education
Mila/Concordia University (Gina Cody School of Engineering and Computer Science)Sep. 2022 - present
PhD in Computer Science
University of Texas at Dallas (UTD)2018 - 2021
M.S. in Computer Science
📚 Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
How Should We Extract Discrete Audio Tokens from Self-Supervised Models?
Pooneh Mousavi, Jarod Duret and , Salah Zaiem, Luca Della Libera, Artem Ploujnikov, Cem Subakan, Mirco Ravanelli
Proc. of Interspeech, 2024, Oral Session
DASB - Discrete Audio and Speech Benchmark.
Pooneh Mousavi, Luca Della Libera, Jarod Duret, Artem Ploujnikov, Cem Subakan, Mirco Ravanell
Submitted to NeurIPS 2024 | Track Datasets and Benchmarks Submission
Open-Source Conversational AI with SpeechBrain 1.0
Mirco Ravanelli, Titouan Parcollet, et al
Submitted to JMLR (Machine Learning Open Source Software)
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
Luca Della Libera‡, Pooneh Mousavi‡, Salah Zaiem, Cem Subakan, Mirco Ravanelli
Submitted to Transactions on Audio, Speech and Language Processing
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish
Transactions on Machine Learning Research
Detecting Hashtag Hijacking for Hashtag Activism
Pooneh Mousavi, Jessica Ouyang
ACL | IJCNLP | NLP4PosImpact
Please Donate for the Affected:Supporting Emergency Managers in Finding Volunteers and Donations in Twitter Across Disasters
Pooneh Mousavi, Cody Buntain
ISCRAM 2022
How Should We Extract Discrete Audio Tokens from Self-Supervised Models?
Pooneh Mousavi, Jarod Duret and , Salah Zaiem, Luca Della Libera, Artem Ploujnikov, Cem Subakan, Mirco Ravanelli
Proc. of Interspeech, 2024, Oral Session
DASB - Discrete Audio and Speech Benchmark.
Pooneh Mousavi, Luca Della Libera, Jarod Duret, Artem Ploujnikov, Cem Subakan, Mirco Ravanell
Submitted to NeurIPS 2024 | Track Datasets and Benchmarks Submission
Open-Source Conversational AI with SpeechBrain 1.0
Mirco Ravanelli, Titouan Parcollet, et al
Submitted to JMLR (Machine Learning Open Source Software)
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
Luca Della Libera‡, Pooneh Mousavi‡, Salah Zaiem, Cem Subakan, Mirco Ravanelli
Submitted to Transactions on Audio, Speech and Language Processing
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish
Transactions on Machine Learning Research
Detecting Hashtag Hijacking for Hashtag Activism
Pooneh Mousavi, Jessica Ouyang
ACL | IJCNLP | NLP4PosImpact
Please Donate for the Affected:Supporting Emergency Managers in Finding Volunteers and Donations in Twitter Across Disasters
Pooneh Mousavi, Cody Buntain
ISCRAM 2022
👩🏻🏫 Teaching
Conversational AI, Concordia University
Winter 2023, Winter 2024, See info here
👥 Services
📄 CV
Full Resume in PDF.