Launching More Languages for Our Open-Source Voice Safety Model

The open-source voice safety classifier has been updated by increasing its parameters from 94.6 million to 120.2 million and expanding its language support to seven additional languages (Spanish, German, French, Portuguese, Italian, Korean, and Japanese). This has resulted in an improved recall rate of 59.1% on English-language voice chat data at a 1% false-positive rate, a 92% improvement over the previous release. The model is optimized to serve at scale, handling up to 8,300 requests per second. The architecture was refined with an additional convolutional layer to reduce internal time resolution, leading to a 20-30% faster inference time. Training now utilizes a machine-labeled dataset of over 100,000 hours of speech, with a focus on sampling abusive content.