Unsupervised Filterbank Learning Using Convolutional Restricted Boltzmann Machine for Environmental Sound Classification. HB Sailor, DM Agrawal, HA Patil InterSpeech 8, 9, 2017 | 128 | 2017 |
Novel TEO-based gammatone features for environmental sound classification DM Agrawal, HB Sailor, MH Soni, HA Patil Signal Processing Conference (EUSIPCO), 2017 25th European, 1809-1813, 2017 | 71 | 2017 |
Novel phase encoded mel filterbank energies for environmental sound classification RN Tak, DM Agrawal, HA Patil International Conference on Pattern Recognition and Machine Intelligence …, 2017 | 54 | 2017 |
Extracting speaker’s gender, accent, age and emotional state from speech NK Goel, M Sarma, TS Kushwah, DK Agrawal, Z Iqbal, S Chauhan Language 68 (87.62), 95-27, 2018 | 4 | 2018 |
CaptionAI: A Real-Time Multilingual Captioning Application. NK Goel, M Sarma, S Valluri, D Agrawal, S Braich, TS Kuswah, Z Iqbal, ... INTERSPEECH, 4632-4633, 2019 | 2 | 2019 |
RFID and GSM-based Garbage Collection System SJ Dawada, BP Patel, DM Agrawal, NR Harshe, MP Gupta | 2 | |
Impact of minimum hyperspherical energy regularization on time-frequency domain networks for singing voice separation N Shah, DM Agrawal 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 1 | 2020 |
Adding Crowd Noise to Sports Commentary using Generative Models N Shah, DM Agrawal, N Pedanekar Proceedings of the 1st Life Improvement in Quality by Ubiquitous Experiences …, 2021 | | 2021 |
Environmental Sound Classification (ESC) using Handcrafted and Learned Features DM Agrawal Dhirubhai Ambani Institute of Information and Communication Technology, 2017 | | 2017 |