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Ankur T. Patil
Ankur T. Patil
PhD Scholar, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar.
Verified email at daiict.ac.in
Title
Cited by
Cited by
Year
Residual neural network precisely quantifies dysarthria severity-level based on short-duration speech segments
S Gupta, AT Patil, M Purohit, M Parmar, M Patel, HA Patil, RC Guido
Neural Networks 139, 105-117, 2021
382021
Novel spectral root cepstral features for replay spoof detection
PA Tapkir, AT Patil, N Shah, HA Patil
2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018
352018
Energy Separation-Based Instantaneous Frequency Estimation for Cochlear Cepstral Feature for Replay Spoof Detection.
AT Patil, R Acharya, PKA Sai, HA Patil
INTERSPEECH, 2898-2902, 2019
172019
Improving the potential of enhanced teager energy cepstral coefficients (etecc) for replay attack detection
AT Patil, R Acharya, HA Patil, RC Guido
Computer Speech & Language 72, 101281, 2022
162022
Significance of constant-q transform for voice liveness detection
K Khoria, AT Patil, HA Patil
2021 29th European Signal Processing Conference (EUSIPCO), 126-130, 2021
142021
Constant Q Cepstral coefficients for classification of normal vs. Pathological infant cry
HA Patil, AT Patil, A Kachhi
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
112022
Intelligibility improvement of dysarthric speech using mmse discogan
M Purohit, M Patel, H Malaviya, A Patil, M Parmar, N Shah, S Doshi, ...
2020 International Conference on Signal Processing and Communications (SPCOM …, 2020
112020
DA-IICT/IIITV System for Low Resource Speech Recognition Challenge 2018.
HB Sailor, MVS Krishna, D Chhabra, AT Patil, MR Kamble, HA Patil
INTERSPEECH, 3187-3191, 2018
112018
Effectiveness of energy separation-based instantaneous frequency estimation for cochlear cepstral features for synthetic and voice-converted spoofed speech detection
AT Patil, HA Patil, K Khoria
Computer Speech & Language 72, 101301, 2022
92022
Advances in Low Resource ASR: A Deep Learning Perspective.
HB Sailor, AT Patil, HA Patil
SLTU, 15-19, 2018
92018
Deep convolutional neural network for voice liveness detection
S Gupta, K Khoria, AT Patil, HA Patil
2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021
72021
On significance of constant-Q transform for pop noise detection
K Khoria, AT Patil, HA Patil
Computer Speech & Language 77, 101421, 2023
62023
Cross-Teager energy cepstral coefficients for replay spoof detection on voice assistants
R Acharya, H Kotta, AT Patil, HA Patil
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
52021
Significance of cmvn for replay spoof detection
AT Patil, HA Patil
2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020
42020
Significance of Energy Features for Severity Classification of Dysarthria
A Kachhi, A Therattil, AT Patil, HB Sailor, HA Patil
International Conference on Speech and Computer, 325-337, 2022
32022
Subband channel selection using teo for replay spoof detection in voice assistants
H Kotta, AT Patil, R Acharya, HA Patil
2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020
32020
Teager Energy Cepstral Coefficients For Classification of Dysarthric Speech Severity-Level
A Kachhi, A Therattil, AT Patil, HB Sailor, HA Patil
2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022
22022
Speech Demodulation-based Techniques for Replay and Presentation Attack Detection
MR Kamble, PAK Sai, MVS Krishna, AT Patil, R Acharya, HA Patil
2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019
22019
Voice liveness detection using constant-Q transform-based features
AT Patil, K Khoria, HA Patil
2022 30th European Signal Processing Conference (EUSIPCO), 110-114, 2022
12022
Non-Cepstral Uncertainty Vector for Replay Spoofed Speech Detection
HA Patil, R Acharya, AT Patil, P Gupta
2022 30th European Signal Processing Conference (EUSIPCO), 374-378, 2022
12022
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Articles 1–20