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Nazreen Pallikkavaliyaveetil
Nazreen Pallikkavaliyaveetil
Other namesNazreen P M
Yale University
Verified email at yale.edu
Title
Cited by
Cited by
Year
DNN based speech enhancement for unseen noises using Monte Carlo dropout
PM Nazreen, AG Ramakrishnan
2018 12th International Conference on Signal Processing and Communication …, 2018
102018
A Class-Specific Speech Enhancement for Phoneme Recognition: A Dictionary Learning Approach.
PM Nazreen, AG Ramakrishnan, PK Ghosh
INTERSPEECH, 3728-3732, 2016
72016
A joint enhancement-decoding formulation for noise robust phoneme recognition
PM Nazreen, AG Ramakrishnan, PK Ghosh
2017 14th IEEE India Council International Conference (INDICON), 1-6, 2017
42017
Cell2sentence: Teaching large language models the language of biology
D Levine, S Lévy, SA Rizvi, N Pallikkavaliyaveetil, X Chen, D Zhang, ...
Accepted; ICML 2024, 2023
32023
Using Monte Carlo dropout for non-stationary noise reduction from speech
PM Nazreen, AG Ramakrishnan
arXiv preprint arXiv:1808.09432 85, 2018
22018
Machine learning assisted Raman spectroscopy: A viable approach for the detection of microplastics
M Sunil, N Pallikkavaliyaveetil, A Gopinath, S Chidangil, S Kumar, ...
Journal of Water Process Engineering 60, 105150, 2024
2024
Improving generalization of Monte Carlo dropout based DNN ensemble model for speech enhancement and results on real world, traffic noise
PM Nazreen, AG Ramakrishnan
2019 IEEE 16th India Council International Conference (INDICON), 1-4, 2019
2019
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks
PM Nazreen, S Chakrabartty, CS Thakur
arXiv preprint arXiv:1910.02304, 2019
2019
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks
M Nazreen P, S Chakrabartty, C Singh Thakur
arXiv e-prints, arXiv: 1910.02304, 2019
2019
Class-specific and noise-specific speech enhancement approaches
PM Nazreen
Indian Institute of Science Bangalore, 2019
2019
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