Jishnu Sadasivan

PhD

Biography

Jishnu Sadasivan received the B.Tech. degree in electronics and communications engineering from Cochin University of Science and Technology, Kerala, India, in 2007, the M.Tech. degree in signal processing from the College of Engineering Trivandrum, Thiruvananthapuram, India, in 2009, and the Ph.D. degree from Indian Institute of Science, Bengaluru, India, in 2018.

He is currently a Senior Researcher with Ericsson Research, Bengaluru. His research interests include signal processing, speech processing, and artificial intelligence.

Publications

2021

IEEE TSP 21

Adaptive Savitzky-Golay filtering in non-Gaussian noise

A. John, J. Sadasivan, and C. S. Seelamantula

IEEE Transactions on Signal Processing, 2021

BIB URL

@article{john2021adaptive,
  author = {John, A. and Sadasivan, J. and Seelamantula, C. S.},
  journal = {IEEE Transactions on Signal Processing},
  pages = {5021--5036},
  title = {Adaptive Savitzky-Golay filtering in non-Gaussian noise},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:_5tno0g5mFcC},
  volume = {69},
  year = {2021}
}

2020

Speech Commun. 20

Speech enhancement using a risk estimation approach

J. Sadasivan, C. S. Seelamantula, and N. R. Muraka

Speech Communication, 2020

BIB URL

@article{sadasivan2020speech,
  author = {Sadasivan, J. and Seelamantula, C. S. and Muraka, N. R.},
  journal = {Speech Communication},
  pages = {12--29},
  title = {Speech enhancement using a risk estimation approach},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ruyezt5ZtCIC},
  volume = {116},
  year = {2020}
}

Speech Commun. 20

Musical noise suppression using a low-rank and sparse matrix decomposition approach

J. Sadasivan, J. K. Dhiman, and C. S. Seelamantula

Speech Communication, 2020

BIB URL

@article{sadasivan2020musical,
  author = {Sadasivan, J. and Dhiman, J. K. and Seelamantula, C. S.},
  journal = {Speech Communication},
  pages = {41--52},
  title = {Musical noise suppression using a low-rank and sparse matrix decomposition approach},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4fGpz3EwCPoC},
  volume = {125},
  year = {2020}
}

APSIPA Trans. Signal Inf. Process. 20

Signal denoising using the minimum-probability-of-error criterion

J. Sadasivan, S. Mukherjee, and C. S. Seelamantula

APSIPA Transactions on Signal and Information Processing, 2020

BIB URL

@article{sadasivan2020signal,
  author = {Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},
  journal = {APSIPA Transactions on Signal and Information Processing},
  pages = {e3},
  title = {Signal denoising using the minimum-probability-of-error criterion},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:Fu2w8maKXqMC},
  volume = {9},
  year = {2020}
}

ICASSP 20

Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network

P. Kulkarni, J. Sadasivan, A. Adiga, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

BIB URL

@inproceedings{kulkarni2020epoch,
  author = {Kulkarni, P. and Sadasivan, J. and Adiga, A. and Seelamantula, C. S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:FPJr55Dyh1AC},
  year = {2020}
}

2018

INTERSPEECH 18

Speech Enhancement Using the Minimum-probability-of-error Criterion

J. Sadasivan, S. Mukherjee, and C. S. Seelamantula

In INTERSPEECH, 2018

BIB URL

@inproceedings{sadasivan2018speech,
  author = {Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},
  booktitle = {INTERSPEECH},
  pages = {1141--1145},
  title = {Speech Enhancement Using the Minimum-probability-of-error Criterion},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:EYYDruWGBe4C},
  year = {2018}
}

2017

arXiv 17

PROSE: Perceptual Risk Optimization for Speech Enhancement

J. Sadasivan, C. S. Seelamantula, and N. R. Muraka

arXiv preprint arXiv:1710.03975, 2017

BIB URL

@article{sadasivan2017prose,
  author = {Sadasivan, J. and Seelamantula, C. S. and Muraka, N. R.},
  journal = {arXiv preprint arXiv:1710.03975},
  title = {PROSE: Perceptual Risk Optimization for Speech Enhancement},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:tKAzc9rXhukC},
  year = {2017}
}

2016

ICASSP 16

Joint dictionary training for bandwidth extension of speech signals

J. Sadasivan, S. Mukherjee, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016

BIB URL

@inproceedings{sadasivan2016joint,
  author = {Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {Joint dictionary training for bandwidth extension of speech signals},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:bnK-pcrLprsC},
  year = {2016}
}

ICASSP 16

An unbiased risk estimator for Gaussian mixture noise distributions—Application to speech denoising

J. Sadasivan, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016

BIB URL

@inproceedings{sadasivan2016unbiased,
  author = {Sadasivan, J. and Seelamantula, C. S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {An unbiased risk estimator for Gaussian mixture noise distributions—Application to speech denoising},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:olpn-zPbct0C},
  year = {2016}
}

INTERSPEECH 16

A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions

J. Sadasivan, and C. S. Seelamantula

In INTERSPEECH, 2016

BIB URL

@inproceedings{sadasivan2016novel,
  author = {Sadasivan, J. and Seelamantula, C. S.},
  booktitle = {INTERSPEECH},
  pages = {3718--3722},
  title = {A Novel Risk-Estimation-Theoretic Framework for Speech Enhancement in Nonstationary and Non-Gaussian Noise Conditions},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZuybSZzF8UAC},
  year = {2016}
}

2014

ICASSP 14

An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising

J. Sadasivan, S. Mukherjee, and C. S. Seelamantula

In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014

BIB URL

@inproceedings{sadasivan2014optimum,
  author = {Sadasivan, J. and Mukherjee, S. and Seelamantula, C. S.},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  title = {An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising},
  url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:pqnbT2bcN3wC},
  year = {2014}
}