Synthetic Speech Detection
5 papers with code • 0 benchmarks • 0 datasets
Detect fake synthetic speech generated using machine learning
Benchmarks
These leaderboards are used to track progress in Synthetic Speech Detection
Most implemented papers
Replay and Synthetic Speech Detection with Res2net Architecture
This multiple scaling mechanism significantly improves the countermeasure's generalizability to unseen spoofing attacks.
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
Different from previous ASVspoof challenges, the LA task this year presents codec and transmission channel variability, while the new task DF presents general audio compression.
Towards End-to-End Synthetic Speech Detection
The constant Q transform (CQT) has been shown to be one of the most effective speech signal pre-transforms to facilitate synthetic speech detection, followed by either hand-crafted (subband) constant Q cepstral coefficient (CQCC) feature extraction and a back-end binary classifier, or a deep neural network (DNN) directly for further feature extraction and classification.
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection
As increasing development of text-to-speech (TTS) and voice conversion (VC) technologies, the detection of synthetic speech has been suffered dramatically.
The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio Detection
The recent integration of generative neural strategies and audio processing techniques have fostered the widespread of synthetic speech synthesis or transformation algorithms.