Ankur T. Patil

Orcid: 0000-0002-5666-272X

According to our database1, Ankur T. Patil authored at least 24 papers between 2018 and 2024.

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Bibliography

2024
CQT-Based Cepstral Features for Classification of Normal vs. Pathological Infant Cry.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023
On significance of constant-Q transform for pop noise detection.
Comput. Speech Lang., 2023

On the Asymptotic Behaviour of the Speech Signal.
Proceedings of the Speech and Computer - 25th International Conference, 2023

2022
Effectiveness of energy separation-based instantaneous frequency estimation for cochlear cepstral features for synthetic and voice-converted spoofed speech detection.
Comput. Speech Lang., 2022

Improving the potential of Enhanced Teager Energy Cepstral Coefficients (ETECC) for replay attack detection.
Comput. Speech Lang., 2022

Significance of Energy Features for Severity Classification of Dysarthria.
Proceedings of the Speech and Computer - 24th International Conference, 2022

Robustness of DAS Beamformer Over MVDR for Replay Attack Detection On Voice Assistants.
Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

Constant Q Cepstral coefficients for classification of normal vs. Pathological infant cry.
Proceedings of the IEEE International Conference on Acoustics, 2022

Subband Teager Energy Representations for Infant Cry Analysis and Classification.
Proceedings of the 30th European Signal Processing Conference, 2022

Voice Liveness Detection using Constant-Q Transform-Based Features.
Proceedings of the 30th European Signal Processing Conference, 2022

Non-Cepstral Uncertainty Vector for Replay Spoofed Speech Detection.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments.
Neural Networks, 2021

Spectral Root Features for Replay Spoof Detection in Voice Assistants.
Proceedings of the Speech and Computer - 23rd International Conference, 2021

Cross-Teager Energy Cepstral Coefficients for Replay Spoof Detection on Voice Assistants.
Proceedings of the IEEE International Conference on Acoustics, 2021

Significance of Constant-Q Transform for Voice Liveness Detection.
Proceedings of the 29th European Signal Processing Conference, 2021

Deep Convolutional Neural Network for Voice Liveness Detection.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020
Intelligibility Improvement of Dysarthric Speech using MMSE DiscoGAN.
Proceedings of the International Conference on Signal Processing and Communications, 2020

Significance of CMVN for Replay Spoof Detection.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

Subband Channel Selection using TEO for Replay Spoof Detection in Voice Assistants.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Energy Separation-Based Instantaneous Frequency Estimation for Cochlear Cepstral Feature for Replay Spoof Detection.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Speech Demodulation-based Techniques for Replay and Presentation Attack Detection.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

2018
Advances in Low Resource ASR: A Deep Learning Perspective.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018

DA-IICT/IIITV System for Low Resource Speech Recognition Challenge 2018.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Novel Spectral Root Cepstral Features for Replay Spoof Detection.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018


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