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Purvi Agrawal
Purvi Agrawal
Current: Microsoft, Past: Indian Institute of Science
Verified email at iisc.ac.in - Homepage
Title
Cited by
Cited by
Year
PhaseNet: Discretized Phase Modeling with Deep Neural Networks for Audio Source Separation.
N Takahashi, P Agrawal, N Goswami, Y Mitsufuji
INTERSPEECH, 2713-2717, 2018
632018
Modulation filter learning using deep variational networks for robust speech recognition
P Agrawal, S Ganapathy
IEEE Journal of Selected Topics in Signal Processing 13 (2), 244-253, 2019
272019
Unsupervised modulation filter learning for noise-robust speech recognition
P Agrawal, S Ganapathy
The Journal of the Acoustical Society of America 142 (3), 1686-1692, 2017
112017
Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting
P Agrawal, S Ganapathy
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2823-2836, 2020
102020
Unsupervised Raw Waveform Representation Learning for ASR.
P Agrawal, S Ganapathy
INTERSPEECH, 3451-3455, 2019
92019
Comparison of Unsupervised Modulation Filter Learning Methods for ASR.
P Agrawal, S Ganapathy
INTERSPEECH, 2908-2912, 2018
52018
Deep variational filter learning models for speech recognition
P Agrawal, S Ganapathy
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
42019
Speech Representation Learning Using Unsupervised Data-Driven Modulation Filtering for Robust ASR.
P Agrawal, S Ganapathy
INTERSPEECH, 2446-2450, 2017
32017
Fusion of TEO phase with MFCC features for speaker verification
P Agrawal, HA Patil
Proceedings of the 2nd International Conference on Perception and Machine …, 2015
32015
A Multi-Head Relevance Weighting Framework for Learning Raw Waveform Audio Representations
D Dutta, P Agrawal, S Ganapathy
2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021
22021
Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations
P Agrawal, S Ganapathy
Proc. Interspeech 2020, 1649-1653, 2020
22020
Neural Representation Learning for Speech and Audio Signals
P Agrawal
Ph.D. Thesis, Indian Institute of Science (IISc), 2021
12021
Representation Learning For Speech Recognition Using Feedback Based Relevance Weighting
P Agrawal, S Ganapathy
ICASSP 2021 - IEEE International Conference on Acoustics, Speech and Signal …, 2021
2021
Unsupervised Representation Learning for Robust Speech Recognition
P Agrawal
Doctoral Consortium, INTERSPEECH 2019, 2019
2019
LEAP Submission to CHiME-5 Challenge
S Ganapathy, P Agrawal
Interspeech, 2018
2018
Fusion of a Novel Volterra-Wiener Filter Based Nonlinear Residual Phase and MFCC for Speaker Verification
P Agrawal, HA Patil
International Conference on Speech and Computer, 389-397, 2017
2017
Analysis of nonlinearity in speech production mechanism for speaker verification: phase-based approach
P Agrawal
Dhirubhai Ambani Institute of Information and Communication Technology, 2015
2015
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