Publications

For a complete list please refer to my Google Scholar profile.

Book Chapter and Journals

• Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization
  J. Parekh, S. Parekh, P. Mozharovskyi, G. Richard, F. d’Alché-Buc
  IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023
  paper

• Weakly supervised representation learning for audio-visual scene analysis
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  IEEE/ACM Transactions on Audio, Speech and Language Processing, 2019

• Multiview approaches to event detection and scene analysis
  S. Essid, S. Parekh, N. Duong, R. Serizel, A. Ozerov, F. Antonacci, A. Sarti
  Book chapter in Computational Analysis of Sound Scenes and Events, Springer, 2018

International Conferences and Workshops

• Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
  J. Parekh, S. Parekh, P. Mozharovskyi, F. d’Alché-Buc, G. Richard
  NeurIPS 2022
  paper

• Emotion Transfer Using Vector-Valued Infinite Task Learning
  A. Lambert^*, S. Parekh^*, Z. Szabó, F. d’Alché-Buc
  First version presented at CtrlGen Workshop, NeurIPS 2021
  paper, code

• Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision
  S. Parekh, A. Ozerov, S. Essid, N. Duong, P. Pérez, G. Richard
  WASPAA 2019
  paper, supplementary material

• Deep pairwise classification and ranking for predicting media interestingness
  J. Parekh, H. Tibrewal, S. Parekh
  ACM ICMR 2018
  code

• Weakly supervised representation learning for unsynchronized audio-visual events
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  CVPR Workshop on Sight and Sound 2018
  paper, video

• Guiding audio source separation by video object information
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  WASPAA 2017
  video

• Motion informed audio source separation
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  ICASSP 2017
  paper

• Improving audio retrieval through loudness profile categorization
  S. Parekh, F. Font, X. Serra
  IEEE ISM 2016

• Nyquist filter design using POCS methods: Including constraints in design
  S. Parekh, P. Shah
  IEEE ISSPIT 2014
  paper

Filed Patents

• Weakly Supervised Learning for Audio-Visual Events, 2018.
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  EP3540634A1

• New approaches to motion informed audio source separation, 2017.
  S. Parekh, S. Essid, A. Ozerov, N. Duong, P. Pérez, G. Richard
  US15956021

Thesis

• Learning representations for robust audio-visual scene analysis
  PhD Thesis, Université Paris-Saclay, 2019.
  manuscript

• Improving Audio Retrieval through Content and Metadata Categorization
  Master’s Thesis, Universitat Pompeu Fabra, 2015.
  manuscript