Novel Spectral Root Cepstral Features for Replay Spoof Detection. - Prasad A. Tapkir; Ankur T. Patil; Neil Shah; Hemant A. Patil (APSIPA, 2018)

DA-IICT/IIITV System for Low Resource Speech Recognition Challenge 2018. - Hardik B. Sailor; Maddala Venkata Siva Krishna; Diksha Chhabra; Ankur T. Patil; Madhu R. Kamble; Hemant A. Patil (INTERSPEECH, 2018)

Advances in Low Resource ASR: A Deep Learning Perspective. - Hardik B. Sailor; Ankur T. Patil; Hemant A. Patil (SLTU, 2018)

Speech Demodulation-based Techniques for Replay and Presentation Attack Detection. - Madhu R. Kamble; Aditya Krishna Sai Pulikonda; Maddala Venkata Siva Krishna; Ankur T. Patil; Rajul Acharya; Hemant A. Patil (APSIPA, 2019)

Energy Separation-Based Instantaneous Frequency Estimation for Cochlear Cepstral Feature for Replay Spoof Detection. - Ankur T. Patil; Rajul Acharya; Pulikonda Krishna Aditya Sai; Hemant A. Patil (INTERSPEECH, 2019)

Subband Channel Selection using TEO for Replay Spoof Detection in Voice Assistants. - Harsh Kotta; Ankur T. Patil; Rajul Acharya; Hemant A. Patil (APSIPA, 2020)

Significance of CMVN for Replay Spoof Detection. - Ankur T. Patil; Hemant A. Patil (APSIPA, 2020)

Intelligibility Improvement of Dysarthric Speech using MMSE DiscoGAN. - Mirali Purohit; Maitreya Patel; Harshit Malaviya; Ankur T. Patil; Mihir Parmar; Nirmesh J. Shah; Savan Doshi; Hemant A. Patil (SPCOM, 2020)

Deep Convolutional Neural Network for Voice Liveness Detection. - Siddhant Gupta; Kuldeep Khoria; Ankur T. Patil; Hemant A. Patil (APSIPA ASC, 2021)

Significance of Constant-Q Transform for Voice Liveness Detection. - Kuldeep Khoria; Ankur T. Patil; Hemant A. Patil (EUSIPCO, 2021)

Cross-Teager Energy Cepstral Coefficients for Replay Spoof Detection on Voice Assistants. - Rajul Acharya; Harsh Kotta; Ankur T. Patil; Hemant A. Patil (ICASSP, 2021)

Spectral Root Features for Replay Spoof Detection in Voice Assistants. - Ankur T. Patil; Harsh Kotta; Rajul Acharya; Hemant A. Patil (SPECOM, 2021)

Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments. - Siddhant Gupta; Ankur T. Patil; Mirali Purohit; Mihir Parmar; Maitreya Patel; Hemant A. Patil; Rodrigo Capobianco Guido (Neural Networks, 2021)

Non-Cepstral Uncertainty Vector for Replay Spoofed Speech Detection. - Hemant A. Patil; Rajul Acharya; Ankur T. Patil; Priyanka Gupta 002 (EUSIPCO, 2022)

Voice Liveness Detection using Constant-Q Transform-Based Features. - Ankur T. Patil; Kuldeep Khoria; Hemant A. Patil (EUSIPCO, 2022)

Subband Teager Energy Representations for Infant Cry Analysis and Classification. - Ankur T. Patil; Aastha Kachhi; Hemant A. Patil (EUSIPCO, 2022)

Constant Q Cepstral coefficients for classification of normal vs. Pathological infant cry. - Hemant A. Patil; Ankur T. Patil; Aastha Kachhi (ICASSP, 2022)

Robustness of DAS Beamformer Over MVDR for Replay Attack Detection On Voice Assistants. - Piyushkumar K. Chodingala; Shreya S. Chaturvedi; Ankur T. Patil; Hemant A. Patil (SPCOM, 2022)

Significance of Energy Features for Severity Classification of Dysarthria. - Aastha Kachhi; Anand Therattil; Ankur T. Patil; Hardik B. Sailor; Hemant A. Patil (SPECOM, 2022)

Improving the potential of Enhanced Teager Energy Cepstral Coefficients (ETECC) for replay attack detection. - Ankur T. Patil; Rajul Acharya; Hemant A. Patil; Rodrigo Capobianco Guido (Comput. Speech Lang., 2022)

Effectiveness of energy separation-based instantaneous frequency estimation for cochlear cepstral features for synthetic and voice-converted spoofed speech detection. - Ankur T. Patil; Hemant A. Patil; Kuldeep Khoria (Comput. Speech Lang., 2022)

On the Asymptotic Behaviour of the Speech Signal. - Priyanka Gupta 002; Rajul Acharya; Ankur T. Patil; Hemant A. Patil (SPECOM (2), 2023)

On significance of constant-Q transform for pop noise detection. - Kuldeep Khoria; Ankur T. Patil; Hemant A. Patil (Comput. Speech Lang., 2023)

CQT-Based Cepstral Features for Classification of Normal vs. Pathological Infant Cry. - Hemant A. Patil; Aastha Kachhi; Ankur T. Patil (IEEE ACM Trans. Audio Speech Lang. Process., 2024)