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2020 – today
- 2024
[c13]Chang Eun Song, Yidong Li, Amardeep Ramnani, Pulkit Agrawal, Purvi Agrawal, Sung-Joon Jang, Sang-Seol Lee, Tajana Rosing, Mingu Kang:
52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator Based on Modular-Unit-Tree with Dynamic Data and Compute Gating. CICC 2024: 1-2- [i4]Aditya Patil, Vikas Joshi, Purvi Agrawal, Rupesh R. Mehta:
Streaming Bilingual End-to-End ASR model using Attention over Multiple Softmax. CoRR abs/2401.11645 (2024) - 2022
- [c12]Aditya Patil, Vikas Joshi, Purvi Agrawal, Rupesh R. Mehta:
Streaming Bilingual End-to-End ASR Model Using Attention Over Multiple Softmax. SLT 2022: 252-259 - 2021
- [c11]Purvi Agrawal, Sriram Ganapathy:
Representation Learning for Speech Recognition Using Feedback Based Relevance Weighting. ICASSP 2021: 6883-6887 - [c10]Debottam Dutta, Purvi Agrawal, Sriram Ganapathy:
A Multi-Head Relevance Weighting Framework for Learning Raw Waveform Audio Representations. WASPAA 2021: 191-195 - [i3]Debottam Dutta, Purvi Agrawal, Sriram Ganapathy:
A Multi-Head Relevance Weighting Framework For Learning Raw Waveform Audio Representations. CoRR abs/2107.14793 (2021) - 2020
- [j2]Purvi Agrawal
, Sriram Ganapathy:
Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2823-2836 (2020) - [c9]Purvi Agrawal, Sriram Ganapathy:
Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations. INTERSPEECH 2020: 1649-1653 - [i2]Purvi Agrawal, Sriram Ganapathy:
Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations. CoRR abs/2011.00721 (2020) - [i1]Purvi Agrawal, Sriram Ganapathy:
Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting. CoRR abs/2011.02136 (2020)
2010 – 2019
- 2019
- [j1]Purvi Agrawal, Sriram Ganapathy:
Modulation Filter Learning Using Deep Variational Networks for Robust Speech Recognition. IEEE J. Sel. Top. Signal Process. 13(2): 244-253 (2019) - [c8]Purvi Agrawal, Sriram Ganapathy:
Deep Variational Filter Learning Models for Speech Recognition. ICASSP 2019: 5731-5735 - [c7]Purvi Agrawal, Sriram Ganapathy:
Unsupervised Raw Waveform Representation Learning for ASR. INTERSPEECH 2019: 3451-3455 - [c6]Purvi Agrawal, Ruchi Dhamnani, Ananya Garg, Shrivishal Tripathi, Manoj Kumar Majumder:
An Efficient Wireless Charging Technique Using Inductive and Resonant Circuits. VDAT 2019: 164-170 - 2018
- [c5]Naoya Takahashi, Purvi Agrawal, Nabarun Goswami, Yuki Mitsufuji:
PhaseNet: Discretized Phase Modeling with Deep Neural Networks for Audio Source Separation. INTERSPEECH 2018: 2713-2717 - [c4]Purvi Agrawal, Sriram Ganapathy:
Comparison of Unsupervised Modulation Filter Learning Methods for ASR. INTERSPEECH 2018: 2908-2912 - 2017
- [c3]Purvi Agrawal, Sriram Ganapathy:
Speech Representation Learning Using Unsupervised Data-Driven Modulation Filtering for Robust ASR. INTERSPEECH 2017: 2446-2450 - [c2]Purvi Agrawal, Hemant A. Patil:
Fusion of a Novel Volterra-Wiener Filter Based Nonlinear Residual Phase and MFCC for Speaker Verification. SPECOM 2017: 389-397 - 2015
- [c1]Purvi Agrawal, Hemant A. Patil:
Fusion of TEO Phase with MFCC Features for Speaker Verification. PerMIn 2015: 161-166
Coauthor Index
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