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P. Agrawal, S. Ganapathy, "Modulation Filter Learning Using Deep Variational Networks for Robust Speech Recognition", IEEE Journal of Selected Topics in Signal Processing (J-STSP), Special Issue on Data Science: Machine Learning for Audio Signal Processing, April 2019.
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, "Unsupervised Raw Waveform Representation Learning for ASR", INTERSPEECH, 2019.
P. Agrawal, S. Ganapathy, "Deep variational filter learning models for speech recognition", 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 "Speech representation learning using unsupervised data-driven modulation filtering for robust ASR", INTERSPEECH, Aug. 2017.
- 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.