FastAudio: A Learnable Audio Front-End For Spoof Speech Detection

Author:

Fu Quchen1,Teng Zhongwei1,White Jules1,Powell Maria E.2,Schmidt Douglas C.1

Affiliation:

1. Vanderbilt University,Dept. of Computer Science

2. Vanderbilt University Medical Center,Dept. of Otolaryngology–Head and Neck Surgery

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Lightweight and Efficient Model for Audio Anti-Spoofing;ACM Multimedia Asia 2023;2023-12-06

2. Quefrency Domain Features with Residual Networks for Spoof Speech Detection;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

3. Attention guided learnable time-domain filterbanks for speech depression detection;Neural Networks;2023-08

4. SAMO: Speaker Attractor Multi-Center One-Class Learning For Voice Anti-Spoofing;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. Real-Time Speech Interruption Analysis: from Cloud to Client Deployment;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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