| Light convolutional neural network with feature genuinization for detection of synthetic speech attacks Z Wu, RK Das, J Yang, H Li arXiv preprint arXiv:2009.09637, 2020 | 96 | 2020 |
| Significance of subband features for synthetic speech detection J Yang, RK Das, H Li IEEE Transactions on Information Forensics and Security 15, 2160-2170, 2019 | 83 | 2019 |
| Multi-modal attention for speech emotion recognition Z Pan, Z Luo, J Yang, H Li arXiv preprint arXiv:2009.04107, 2020 | 82 | 2020 |
| Long range acoustic and deep features perspective on ASVspoof 2019 RK Das, J Yang, H Li 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 76 | 2019 |
| Key-sparse transformer for multimodal speech emotion recognition W Chen, X Xing, X Xu, J Yang, J Pang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 58 | 2022 |
| Long Range Acoustic Features for Spoofed Speech Detection. RK Das, J Yang, H Li Interspeech, 1058-1062, 2019 | 53 | 2019 |
| Extended constant-Q cepstral coefficients for detection of spoofing attacks J Yang, RK Das, H Li 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 53 | 2018 |
| Assessing the scope of generalized countermeasures for anti-spoofing RK Das, J Yang, H Li ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 46 | 2020 |
| Mobile phone clustering from speech recordings using deep representation and spectral clustering Y Li, X Zhang, X Li, Y Zhang, J Yang, Q He IEEE Transactions on Information Forensics and Security 13 (4), 965-977, 2017 | 44 | 2017 |
| Extraction of octave spectra information for spoofing attack detection J Yang, RK Das, N Zhou IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 43 | 2019 |
| Modified magnitude-phase spectrum information for spoofing detection J Yang, H Wang, RK Das, Y Qian IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1065-1078, 2021 | 40 | 2021 |
| Long-term high frequency features for synthetic speech detection J Yang, RK Das Digital Signal Processing 97, 102622, 2020 | 40 | 2020 |
| Acoustic data augmentation for Mandarin-English code-switching speech recognition Y Long, Y Li, Q Zhang, S Wei, H Ye, J Yang Applied Acoustics 161, 107175, 2020 | 39 | 2020 |
| Low frequency frame-wise normalization over constant-Q transform for playback speech detection J Yang, RK Das Digital Signal Processing 89, 30-39, 2019 | 37 | 2019 |
| Data augmentation with signal companding for detection of logical access attacks RK Das, J Yang, H Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 31 | 2021 |
| Exploiting morphological and phonological features to improve prosodic phrasing for mongolian speech synthesis R Liu, B Sisman, F Bao, J Yang, G Gao, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 274-285, 2020 | 30 | 2020 |
| Feature with Complementarity of Statistics and Principal Information for Spoofing Detection J Yang, C You, Q He Interspeech, 651-655, 2018 | 30 | 2018 |
| Playback speech detection based on magnitude-phase spectrum J Yang, L Liu Electronics Letters 54 (14), 901-903, 2018 | 26 | 2018 |
| Characteristics-based effective applause detection for meeting speech YX Li, QH He, S Kwong, T Li, JC Yang Signal Processing 89 (8), 1625-1633, 2009 | 26 | 2009 |
| I4U submission to NIST SRE 2018: Leveraging from a decade of shared experiences KA Lee, V Hautamaki, T Kinnunen, H Yamamoto, K Okabe, V Vestman, ... arXiv preprint arXiv:1904.07386, 2019 | 23 | 2019 |
Rohan Kumar DasFortemedia Singapore在 ieee.org 的电子邮件经过验证
