分析
FLUX的Black Forest Labs推出了生成式人工智能的新型学习方法'Self-Flow'。这种创新方法承诺以令人印象深刻的效率和准确性生成图像、视频和音频,推动了人工智能的边界。
关于audio generation的新闻、研究和更新。由AI引擎自动整理。
"在跨越 22 个不同任务的线性评估中,我们的方法在很大程度上优于之前的音频编解码器和音频编码器基线,同时保持了具有竞争力的音频重建质量。"
"这次,我们将分享构建一个 ComfyUI 环境的记录,该环境可以使用节点生成图像和音频,利用我前一段时间为生成式人工智能实验购买的 Mac Mini M4 Pro(64GB 内存)。"
"JUST-DUB-IT共同生成音频和视觉效果以实现完美的唇同步。它保留笑声、背景噪音,并处理其他方法失败的极端角度/遮挡。"
"It can generate 150 seconds of audio in just 1 second on a modern gpu and has high quality voice cloning."
"I have designed it for massively improved stability and audio quality over the original model. ... I have trained Soprano further to reduce these audio artifacts."
"Current audio evaluation faces three major challenges: (1) audio evaluation lacks a unified framework, with datasets and code scattered across various sources, hindering fair and efficient cross-model comparison"