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Source channel @githubtrending · Post #14684 · May 8

#python#apple_silicon#audio_processing#mlx#multimodal#speech_recognition#speech_synthesis#speech_to_text#text_to_speech#transformers MLX-Audio is a powerful tool for converting text into speech and speech into new audio. It works well on Apple Silicon devices, like M-series chips, making it fast and efficient. You can choose from different languages and voices, and even adjust how fast the speech is. It also includes a web interface where you can see audio in 3D and play your own files. This tool is helpful for making audiobooks, interactive media, and personal projects because it's easy to use and provides high-quality audio quickly. https://github.com/Blaizzy/mlx-audio

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@tribebrook · Post #469 · 10/04/2025, 03:47 PM

#Mac#清理#GitHub#CleanMyMac#Lemon 🦡 像鼹鼠一样深入挖掘来清理您的 Mac 一;亮点 🐦深度系统清理- 一次性删除隐藏的缓存、日志和临时文件 📦彻底卸载- 清理了 22 个以上位置,而标准卸载只有 1 个,优于 CleanMyMac/Lemon ⚡️快速且轻量- 基于终端,零膨胀,带分页的箭头键导航 🧹海量空间恢复- 回收 100GB 以上的浪费磁盘空间 二;安装 curl -fsSL curl -fsSL https://raw.githubusercontent.com/tw93/mole/main/install.sh | bash 或者通过 Homebrew: brew install tw93/tap/mole GitHub地址:官方 🔔提示:限免,兑换码具有时效性,打开本频道通知,第一时间获取全网资讯!!! 🏠本消息Via:小小溪 📰群组:homeBrook 📢频道:Home_brook 🤖其他问题(投稿)请Bot:@xia0_bot