健康3 weeks ago
slowcast.net · Something slow to watch. Something calm to hear.
在宁静的浏览器中欣赏视觉美感,聆听冥想环境音乐。
@ace_space_1 · X
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技术栈
24 projects
在宁静的浏览器中欣赏视觉美感,聆听冥想环境音乐。
@ace_space_1 · X
收听白噪音、雨声等自然音效，帮助改善睡眠质量。
@AI_fengkuang · X
My first website built with Codex — a white noise sleep aid site to help adults get better rest.
由AI提供的个性化心情分析和治疗音频，帮助情感健康。
maggie_wu · Product Hunt
Lumi AI companions for your thoughts, moods, and moments.
Segment Anything for Audio — made simple. Separate audio with a text prompt. Isolate vocals, remove background music, extract speech from noise. Privacy-first stem splitter powered
@sambamdamnn · X
用浏览器AI工具将歌曲分离成人声、鼓声、贝斯和其他乐器。
gaoheyangnwpu · V2EX
AudioCraft – AI stem splitter and vocal remover with a browser-based mixer I’ve been building AudioCraft as a focused AI music tool for separating songs into useful stems. The main workflow is simple: * upload MP3, WAV, FLAC, or M4A * separate the track into vocals, drums, bass, and other instruments * preview the stems * mute, solo, and adjust individual tracks * create an instrumental version * download individual stems or all stems together AI Stem Splitter https://audiocraft.app/ A
A shared music room for friends. Everyone hears the same track at the same second, one person holds the aux, and anyone can take it off them.
@theeasyway6 · X
从治疗会话录音自动生成SOAP临床笔记，包含AI转录。
kithmedai · HN
Kith – AI clinical notes for therapists from ambient session audio
Sonara turns text into natural, expressive speech. Studio-grade voices for narration, assistants, and storytelling.
@Dev_NexaLabs · X
NOTE: we're still in the early phase something is not yet finish.
将您的人声转换为钢琴、吉他、小提琴等100+种乐器演奏。
Voice to Instrument — AI 工具，将人声录音转换为器乐曲目。上传歌声或录音，AI 自动生成钢琴、吉他、鼓等器乐伴奏。
Repodcast 将播客剧集转换为社交媒体内容，60秒内生成平台就绪的帖子和笔记。
@Repodcastapp · X
实时AI演讲教练，提供即时反馈以改善您的演讲和表达能力。
shezhang2001 · HN
Hi HN! I'm Sheryl, founder of Altura ( https://www.altura.coach ). I've been a tech executive for close to 30 years. I'd worked on my communication throughout my career. I read books, take courses, put effort in every important meeting, but the progress was terribly slow. Then I read a transcript of myself in a job interview, filler words ("you know", "like") burst in clusters throughout the meeting. I had no idea that I was saying them. Filler was just one issue that I worked on. I had plenty o
