Fusion of TEO Phase with MFCC Features for Speaker Verification. - Purvi Agrawal; Hemant A. Patil (PerMIn, 2015)

Speech Representation Learning Using Unsupervised Data-Driven Modulation Filtering for Robust ASR. - Purvi Agrawal; Sriram Ganapathy (INTERSPEECH, 2017)

Fusion of a Novel Volterra-Wiener Filter Based Nonlinear Residual Phase and MFCC for Speaker Verification. - Purvi Agrawal; Hemant A. Patil (SPECOM, 2017)

Comparison of Unsupervised Modulation Filter Learning Methods for ASR. - Purvi Agrawal; Sriram Ganapathy (INTERSPEECH, 2018)

PhaseNet: Discretized Phase Modeling with Deep Neural Networks for Audio Source Separation. - Naoya Takahashi; Purvi Agrawal; Nabarun Goswami; Yuki Mitsufuji (INTERSPEECH, 2018)

Deep Variational Filter Learning Models for Speech Recognition. - Purvi Agrawal; Sriram Ganapathy (ICASSP, 2019)

Unsupervised Raw Waveform Representation Learning for ASR. - Purvi Agrawal; Sriram Ganapathy (INTERSPEECH, 2019)

An Efficient Wireless Charging Technique Using Inductive and Resonant Circuits. - Purvi Agrawal; Ruchi Dhamnani; Ananya Garg; Shrivishal Tripathi; Manoj Kumar Majumder (VDAT, 2019)

Modulation Filter Learning Using Deep Variational Networks for Robust Speech Recognition. - Purvi Agrawal; Sriram Ganapathy (IEEE J. Sel. Top. Signal Process., 2019)

Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations. - Purvi Agrawal; Sriram Ganapathy (INTERSPEECH, 2020)

Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting. - Purvi Agrawal; Sriram Ganapathy (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Representation Learning for Speech Recognition Using Feedback Based Relevance Weighting. - Purvi Agrawal; Sriram Ganapathy (ICASSP, 2021)

A Multi-Head Relevance Weighting Framework for Learning Raw Waveform Audio Representations. - Debottam Dutta; Purvi Agrawal; Sriram Ganapathy (WASPAA, 2021)

Streaming Bilingual End-to-End ASR Model Using Attention Over Multiple Softmax. - Aditya Patil; Vikas Joshi; Purvi Agrawal; Rupesh R. Mehta (SLT, 2022)

52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator Based on Modular-Unit-Tree with Dynamic Data and Compute Gating. - Chang Eun Song; Yidong Li; Amardeep Ramnani; Pulkit Agrawal 003; Purvi Agrawal; Sung-Joon Jang; Sang-Seol Lee; Tajana Rosing; Mingu Kang (CICC, 2024)

Building English ASR model with regional language support. - Purvi Agrawal; Vikas Joshi; Bharati Patidar; Ankur Gupta; Rupesh Kumar Mehta (CoRR, 2025)