Post #1521

Hugging Face (Twitter) RT @Meituan_LongCat: 🎉 LongCat-Audio-Codec is officially OPEN SOURCED! 🚀 -an audio codec solution optimized specifically for Speech LLMs. Key Breakthroughs: 1. Dual Tokens: Semantic and Acoustic Tokens are extracted in parallel at a low frame rate (16.7Hz / 60ms).This ensures both efficient modeling and full information integrity. 2. Ultra-Efficiency: LongCat-Audio-Codec maintains high intelligibility even at an extremely low bitrate, such as 0.43 kbps. 3. Real-Time Ready: Features a low-latency streaming decoder architecture. Latency is controlled to the hundred-millisecond level for real-time interaction. The integration of super-resolution in the decoder further enhances audio quality without extra models! This solution lowers technical barriers and optimizes resource efficiency for mobile/embedded Speech LLM deployment. 🔗 Code: Github: https://github.com/meituan-longcat/LongCat-Audio-Codec Huggingface: https://huggingface.co/meituan-longcat/LongCat-Audio-Codec