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Two mauscripts under review.
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, Stockholm, Sweden, 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 Kolkata, 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.