S Pavankumar Dubagunta
S Pavankumar Dubagunta
Uniphore Software Systems
Verified email at uniphore.com - Homepage
Cited by
Cited by
Learning voice source related information for depression detection
SP Dubagunta, B Vlasenko, MM Doss
ICASSP 2019, 2019
Improving Children Speech Recognition through Feature Learning from Raw Speech Signal
SP Dubagunta, SH Kabil, MM Doss
ICASSP 2019, 2019
Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS
J Fritsch, SP Dubagunta, MM Doss
ICASSP 2020, 6534-6538, 2020
On Joint Optimization of Automatic Speaker Verification and Anti-spoofing in the Embedding Space
A Gomez-Alanis, JA Gonzalez-Lopez, SP Dubagunta, AM Peinado, ...
IEEE Transactions on Information Forensics and Security, 2020
Adjustable Deterministic Pseudonymisation of Speech: Idiap-NKI’s submission to VoicePrivacy 2020 Challenge
SP Dubagunta, RJJH van Son, MM Doss
Using Speech Production Knowledge for Raw Waveform Modelling based Styrian Dialect Identification
SP Dubagunta, MM Doss
Interspeech 2019, 2019
Implementing Fusion Techniques for the Classification of Paralinguistic Information
B Vlasenko, J Sebastian, DSP Kumar, MM Doss
Interspeech 2018, 2018
Late Fusion of the Available Lexicon and Raw Waveform-based Acoustic Modeling for Depression and Dementia Recognition
E Villatoro-Tello, SP Dubagunta, J Fritsch, G Ramırez-de-la-Rosa, ...
Modified splice and its extension to non-stereo data for noise robust speech recognition
DSP Kumar, NV Prasad, V Joshi, S Umesh
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 174-179, 2013
Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition
SP Dubagunta, MM Doss
ICASSP 2019, 2019
Understanding Raw Waveform based CNN through Low-rank Spectro-Temporal Decoupling
V Abrol, SP Dubagunta, M Magimai.-Doss
Idiap Research Report, 2019
A simple MFCC extractor using C++ STL and C++ 11
SP Dubagunta
https://github.com/dspavankumar/compute-mfcc, 2016
Adjustable deterministic pseudonymization of speech
SP Dubagunta, RJJH van Son, MM Doss
Computer Speech & Language 72, 101284, 2022
Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech
J Sebastian, M Kumar, DSP Kumar, MM Doss, HA Murthy, S Narayanan
Interspeech 2018, 2018
Non-negative subspace projection during conventional mfcc feature extraction for noise robust speech recognition
DSP Kumar, RR Bilgi, S Umesh
2013 National Conference on Communications (NCC), 1-5, 2013
Feature normalisation for robust speech recognition
DSP Kumar
arXiv preprint arXiv:1507.04019, 2013
Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment
SP Dubagunta
EPFL, 2021
ININ Submission to Zero Cost ASR Task at MediaEval 2016.
T Godambe, N Kumar, P Kumar, V Raghavendra, A Ganapathiraju
MediaEval 2016, 2016
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