Purvi Agrawal

According to our database, Purvi Agrawal authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Purvi Agrawal, Sung-Joon Jang, Sang-Seol Lee, Tajana Rosing, Mingu Kang

Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2022

Streaming Bilingual End-to-End ASR Model Using Attention Over Multiple Softmax.

Aditya Patil, Vikas Joshi, Purvi Agrawal, Rupesh R. Mehta

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

2021

A Multi-Head Relevance Weighting Framework for Learning Raw Waveform Audio Representations.

Debottam Dutta, Purvi Agrawal, Sriram Ganapathy

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Representation Learning for Speech Recognition Using Feedback Based Relevance Weighting.

Purvi Agrawal, Sriram Ganapathy

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations.

Purvi Agrawal, Sriram Ganapathy

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Modulation Filter Learning Using Deep Variational Networks for Robust Speech Recognition.

Purvi Agrawal, Sriram Ganapathy

IEEE J. Sel. Top. Signal Process., 2019

An Efficient Wireless Charging Technique Using Inductive and Resonant Circuits.

Purvi Agrawal, Ruchi Dhamnani, Ananya Garg, Shrivishal Tripathi, Manoj Kumar Majumder

Proceedings of the VLSI Design and Test - 23rd International Symposium, 2019

Unsupervised Raw Waveform Representation Learning for ASR.

Purvi Agrawal, Sriram Ganapathy

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Deep Variational Filter Learning Models for Speech Recognition.

Purvi Agrawal, Sriram Ganapathy

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

PhaseNet: Discretized Phase Modeling with Deep Neural Networks for Audio Source Separation.

Naoya Takahashi, Purvi Agrawal, Nabarun Goswami, Yuki Mitsufuji

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Comparison of Unsupervised Modulation Filter Learning Methods for ASR.

Purvi Agrawal, Sriram Ganapathy

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Fusion of a Novel Volterra-Wiener Filter Based Nonlinear Residual Phase and MFCC for Speaker Verification.

Purvi Agrawal, Hemant A. Patil

Proceedings of the Speech and Computer - 19th International Conference, 2017

Speech Representation Learning Using Unsupervised Data-Driven Modulation Filtering for Robust ASR.

Purvi Agrawal, Sriram Ganapathy

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2015

Fusion of TEO Phase with MFCC Features for Speaker Verification.

Purvi Agrawal, Hemant A. Patil

Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015