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One journal manuscript under review.
P. Agrawal, S. Ganapathy, "Deep variational filter learning models for speech recognition", accepted in ICASSP, 2019.
P. Agrawal, S. Ganapathy, "Comparison of unsupervised modulation filter learning methods for ASR", INTERSPEECH, 2018.
N. Takahashi, P. Agrawal, N. Goswami and Y. Mitsufuji, "PhaseNet: Discretized phase modeling with deep neural networks for audio source separation", INTERSPEECH, 2018.
P. Agrawal and S. Ganapathy, "Unsupervised Modulation Filter Learning for Noise-Robust Speech Recognition", Journal of Acoustical Society of America, Sept. 2017.
P. Agrawal and S. Ganapathy "Speech representation learning using unsupervised data-driven modulation filtering for robust ASR", INTERSPEECH, Aug. 2017.
- P. Agrawal and H. Patil, "Fusion of a Novel Volterra-Wiener Filter based Nonlinear Residual Phase and MFCC for Speaker Verification", Int. Conf. on Speech and Computer (SPECOM), Hertfordshire, UK, 2017.
- P. Agrawal and H. Patil, "Fusion of TEO phase with MFCC features for speaker verification", Int. Conf. on Perception and Machine Intelligence (PerMIn), C-DAC, India, 2015.
- Low Resource Speech Recognition Challenge for Indian Languages - Finished 3rd on leaderboard with team - Purvi Agrawal, Sonali Singh, Jayanth Shankar - IITB, Dr. Sriram Ganapathy, Dr. Preethi Jyothi - IITB.
- The 5th CHiME Speech Separation and Recognition Challenge - Finished in top 10 teams for single-array track with team - Dr. Sriram Ganapathy, Purvi Agrawal.