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Synthetic Speech Detection

Detect fake synthetic speech generated using machine learning

Papers

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Showing 1–25 of 29 papers

TitleStatusHype
Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech DetectionCode2
FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech DetectionCode1
Towards End-to-End Synthetic Speech DetectionCode1
SONICS: Synthetic Or Not -- Identifying Counterfeit SongsCode1
SingFake: Singing Voice Deepfake DetectionCode1
Replay and Synthetic Speech Detection with Res2net ArchitectureCode1
ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution ShiftsCode1
UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021Code1
Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning ModelsCode0
ConvNeXt Based Neural Network for Audio Anti-SpoofingCode0
Multi-task learning improves synthetic speech detectionCode0
The Sound of Silence: Efficiency of First Digit Features in Synthetic Audio DetectionCode0
Towards generalisable and calibrated synthetic speech detection with self-supervised representations—0
Open Challenges in Synthetic Speech Detection—0
A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection—0
Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion—0
Compression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer—0
RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform—0
Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection—0
Collaborative Watermarking for Adversarial Speech Synthesis—0
Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations—0
Spoofing-Robust Speaker Verification Based on Time-Domain Embedding—0
Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features—0
Synthetic speech detection using meta-learning with prototypical loss—0
Are Mamba-based Audio Foundation Models the Best Fit for Non-Verbal Emotion Recognition?—0
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