Combining evidences from mel cepstral, cochlear filter cepstral and instantaneous frequency features for detection of natural vs. spoofed speech

Author:

Patel Tanvina B.,Patil Hemant A.

Publisher

ISCA

Cited by 33 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. Multi-space channel representation learning for mono-to-binaural conversion based audio deepfake detection;Information Fusion;2024-05

2. One-Class Neural Network With Directed Statistics Pooling for Spoofing Speech Detection;IEEE Transactions on Information Forensics and Security;2024

3. Text-dependent speaker verification using discrete wavelet transform based on linear prediction coding;Biomedical Signal Processing and Control;2023-09

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. Multimodaltrace: Deepfake Detection using Audiovisual Representation Learning;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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