Towards the Development of a Real-Time Deepfake Audio Detection System in Communication Platforms

arXiv:2403.11778v1 Announce Type: cross
Abstract: Deepfake audio poses a rising threat in communication platforms, necessitating real-time detection for audio stream integrity. Unlike traditional non-real-time approaches, this study assesses the viability of employing static deepfake audio detection models in real-time communication platforms. An executable software is developed for cross-platform compatibility, enabling real-time execution. Two deepfake audio detection models based on Resnet and LCNN architectures are implemented using the ASVspoof 2019 dataset, achieving benchmark performances compared to ASVspoof 2019 challenge baselines. The …

arxiv audio communication communication platforms cs.cr cs.lg cs.sd deepfake detection development eess.as integrity non platforms real rising software stream study system threat