In the context of rapid advancements in voice synthesis technology, voice forgery has become increasingly severe, posing significant threats to user privacy and social security. Recently, the Intelligent System Security Laboratory at Zhejiang University and Tsinghua University jointly released a novel voice forgery detection framework called 'SafeEar.' This framework aims to efficiently detect forgeries while protecting the privacy of voice content. The concept behind SafeEar is to cleverly design a decoupled model based on neural audio codecs that effectively separates the acoustic features of voice.

Pindrop has launched Pulse Inspect, a web-based audio and video file detection system that accurately identifies AI-generated speech with 99% accuracy, as part of the Pindrop Pulse product suite. The tool's unique capability lies in its ability to recognize audio generated by various AI tools or models, and it is currently in preview, designed to serve organizations aiming to prevent audio forgery risks on a large scale. With the rise of text-generating AI systems, audio forgery has become prevalent, making Pulse Inspect essential.