Hush

Hush addresses the problem of voice AI agent performance degradation in noisy environments: originally, models may fail to accurately recognize key voice commands due to interference from background noise, multiple people speaking, and other disturbances. Its actual function is to isolate the primary speaker and remove all other audio interference in real-time, running entirely on CPU with a processing time of less than 1 millisecond per frame. Typical use cases include voice assistants in noisy environments, AI agents in multi-person meetings, and outdoor voice interaction applications. Its main advantages are being completely GPU-free, language-agnostic supporting all spoken languages, and licensed under Apache 2.0 for free use in production environments. It should be noted that it needs to be integrated into existing voice processing pipelines and may be overly complex for simple application scenarios. If you are concerned about deployment cost, real-time performance, and language compatibility, you should focus on CPU performance requirements and existing audio processing architecture. It is more suitable for voice AI developers who need to handle complex audio environments, and less suitable for simple applications with low voice quality requirements or projects that already have mature noise reduction solutions.