🎚️ Audio Processing AI Skills

当用户想要**把长音频切成小段**、**音频切片**、**音频分割**、**把音频分成固定时长片段**、**制作语音数据集**、**准备Karaoke素材**、**翻唱音频切片**时自动触发。 支持单个音频文件或整个文件夹（支持递归），自动用 ffmpeg 把音频按指定秒数切成小片段，完美保留原始文件夹结构，并智能选择输出路径。 常见触发口语： - “帮我把这个音频切成60秒一段” - “把这个长音频分割成小段” - “音频切片，这个文件夹” - “把语音文件切成每段30秒” - “制作数据集，把音频切片” - “Karaoke素材切片” - “翻唱音频分割” - “把MP3切成小段” -

当用户想要**一键批量从音频文件中提取超干净纯人声（干声 / Vocals Only）**、去除伴奏/背景音乐时，自动调用此技能。 一键音频人声分离工具。专门从音频文件（.mp3/.wav/.flac等）中提取超干净干声（Acapella）或去除背景音制作伴奏。 核心用途：支持单个音频文件或整个文件夹批量处理（.mp3/.wav/.flac 等格式），输出高质量无杂音干声，自动在输入同级创建 [输入文件夹]_vocals 文件夹，完美保留原目录结构。 高频触发场景包括： - 翻唱练习、翻唱视频制作、B站/抖音/小红书演唱素材清洗 - 卡拉OK 伴奏制作（只保留人声） - 音乐制作中的人声分

Recognizes cat and dog barks through pet voiceprint AI, translates and outputs emotions and behavioral intentions such as happiness, excitement, anger, anxiety, pain, vigilance, and attention-seeking, enabling human-pet smart interaction. | 宠物叫声情绪解析技能，通过宠物声纹AI识别猫狗叫声，翻译输出开心、兴奋、愤怒、焦虑、痛苦、警惕、求关注等情绪与行为意图，实现人宠智能交互

Transcribe audio files to text using OpenAI Whisper. Supports speech-to-text with auto language detection, multiple output formats (txt, srt, vtt, json), batch processing, and model selection (tiny to large). Use when transcribing audio recordings, podcasts, voice messages, lectures, meetings, or any audio/video file to text. Handles mp3, wav, m4a, ogg, flac, webm, opus, aac formats.

Use AudioPod AI's API for audio processing tasks including AI music generation (text-to-music, text-to-rap, instrumentals, samples, vocals), stem separation, text-to-speech, noise reduction, speech-to-text transcription, speaker separation, and media extraction. Use when the user needs to generate music/songs/rap from text, split a song into stems/vocals/instruments, generate speech from text, clean up noisy audio, transcribe audio/video, or extract audio from YouTube/URLs. Requires AUDIOPOD_API_KEY env var or pass api_key directly.

Convert, compress, merge, split, clip, inspect, and extract audio locally with FFmpeg, plus decode supported music-cache formats including pure-Python Ximala...

Use when the user wants to split a song or audio file into vocals, drums, bass, guitar, piano, and other stems; remove vocals for karaoke; extract acapellas...

Telegram voice-to-voice for macOS Apple Silicon: transcribe inbound .ogg voice notes with yap (Speech.framework) and reply with Telegram voice notes via say+ffmpeg. Not compatible with Linux/Windows.

Create audiobooks from web content or text files. Handles content fetching, text processing, and TTS conversion with automatic fallback between ElevenLabs, O...

智能音频分离工具，一键将任意音频或视频分离出人声、伴奏、鼓、贝斯、钢琴等独立音轨。适用于音乐人翻唱伴奏提取、歌曲 Remix 制作、播客人声降噪、视频配乐替换、音乐教学素材准备等场景。当用户需要「分离人声和伴奏」「提取伴奏」「去除人声」「拆分音轨」「vocal split」「stem splitter」等操作时触...

AI music generation powered by CellCog. Original instrumental and vocal tracks, 5 seconds to 10 minutes. Cinematic scores, background tracks, podcast intros,...

Wires a real microphone through an AI brain (STT → LLM → TTS) and routes the output to a virtual audio cable so apps like Google Meet hear the processed voic...

Generate full songs and instrumental tracks with ElevenLabs Music on RunComfy via the `runcomfy` CLI. ElevenLabs Music turns a style description plus structured lyrics into studio-quality 44.1 kHz stereo audio — 5 seconds to 5 minutes — with section-level control (Intro / Verse / Chorus / Bridge), multilingual vocals, and commercial-friendly output. Generate a backing track, a full vocal song, a jingle, a podcast intro, a game loop, or an instrumental bed. Calls `runcomfy run elevenlabs/elevenlabs/music-generation` through the local RunComfy CLI. Triggers on "generate music", "make a song", "AI music", "background music", "instrumental track", "ElevenLabs Music", "soundtrack", "jingle", "theme music", "royalty-free music", "compose", or any explicit ask to generate music or a song from a text description.

Voice-to-Text Transcription Toolkit - 语音识别转文字，支持Whisper/Vosk引擎，批量处理，字幕导出 | Speech recognition & transcription with Whisper/Vosk engines, batch processing, su...

Supports image understanding, OCR, speech-to-text, and text-to-speech synthesis with multi-voice and multimodal unified processing using OpenAI and Edge TTS.

Generate music and audio via Kie.ai's Suno gateway (V3.5 through V5.5). Use for background tracks, instrumental beds, full songs with vocals, or extending ex...

Enables voice synthesis, voice cloning, voice design, and audio post-processing using MiniMax Voice API and FFmpeg. Use when converting text to speech, creat...

将文字转换为语音并以飞书语音气泡消息发送。使用 Edge-TTS（微软，免费，无限次）生成中文语音，FFmpeg 转码为 ogg/opus，上传到飞书作为 audio 类型消息。支持自定义音色、接收者和 Python 环境。当用户要求用语音回复、发语音消息、TTS 朗读内容时触发。

Local STT and TTS on macOS using native Apple capabilities. Speech-to-text via yap (Apple Speech.framework), text-to-speech via say + ffmpeg. Fully offline, no API keys required. Includes voice quality detection and smart voice selection.

AI music generation with Suno v4, v4.5, v5. Text-to-music, custom lyrics, instrumental, vocal control. 5 models, one API key.

Process, enhance, and convert audio files with noise removal, normalization, format conversion, transcription, and podcast workflows.

🎵 音视频格式转换与处理工具箱。基于 FFmpeg + Whisper AI，支持：格式转换、视频提取音频、合并、分割、压缩、查看信息、音频转文字。

Processes inbound audio files, transcribes them, and answers to resulting texts. Converts non-WAV inputs to WAV before transcription.

根据病程记录生成诊疗经过。输入病程记录文本，调用内部医疗大模型，输出结构化诊疗经过文本。