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