用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/babysor/MockingBird --skill speak命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | speak |
| description | Convert text into speech with Kokoro or Noiz, including simple and timeline-aligned modes. |
Convert any text into speech audio. Supports two backends (Kokoro local, Noiz cloud), two modes (simple or timeline-accurate), and per-segment voice control.
# Kokoro (auto-detected when installed)
bash skills/speak/scripts/tts.sh speak -t "Hello world" -v af_sarah -o hello.wav
bash skills/speak/scripts/tts.sh speak -f article.txt -v zf_xiaoni --lang cmn -o out.mp3 --format mp3
# Noiz (auto-detected when NOIZ_API_KEY is set, or force with --backend noiz)
# If --voice-id is omitted, the script prints 5 available built-in voices and exits.
# Pick one from the output and re-run with --voice-id <id>.
bash skills/speak/scripts/tts.sh speak -f input.txt --voice-id voice_abc --auto-emotion --emo '{"Joy":0.5}' -o out.wav
# Noiz: optional --duration (float, seconds, range (0, 36]) for target audio length
bash skills/speak/scripts/tts.sh speak -t "Short line" --voice-id voice_abc --duration 3.5 -o out.wav
# Voice cloning (Noiz only — no voice-id needed, uses ref audio)
# Use your own reference audio: local file path or URL (only when using Noiz).
bash skills/speak/scripts/tts.sh speak -t "Hello" --ref-audio ./ref.wav -o clone.wav
bash skills/speak/scripts/tts.sh speak -t "Hello" --ref-audio https://example.com/my_voice.wav -o clone.wav
For precise per-segment timing (dubbing, subtitles, video narration).
If the user doesn't have one, generate from text:
bash skills/speak/scripts/tts.sh to-srt -i article.txt -o article.srt
bash skills/speak/scripts/tts.sh to-srt -i article.txt -o article.srt --cps 15 --gap 500
--cps = characters per second (default 4, good for Chinese; ~15 for English). The agent can also write SRT manually.
JSON file controlling default + per-segment voice settings. segments keys support single index "3" or range "5-8".
Kokoro voice map:
{
"default": { "voice": "zf_xiaoni", "lang": "cmn" },
"segments": {
"1": { "voice": "zm_yunxi" },
"5-8": { "voice": "af_sarah", "lang": "en-us", "speed": 0.9 }
}
}
Noiz voice map (adds emo, reference_audio support). reference_audio can be a local path or a URL (user’s own audio; Noiz only):
{
"default": { "voice_id": "voice_123", "target_lang": "zh" },
"segments": {
"1": { "voice_id": "voice_host", "emo": { "Joy": 0.6 } },
"2-4": { "reference_audio": "./refs/guest.wav" }
}
}
Dynamic Reference Audio Slicing:
If you are translating or dubbing a video and want each sentence to automatically use the audio from the original video at the exact same timestamp as its reference audio, use the --ref-audio-track argument instead of setting reference_audio in the map:
bash skills/speak/scripts/tts.sh render --srt input.srt --voice-map vm.json --ref-audio-track original_video.mp4 -o output.wav
See examples/ for full samples.
bash skills/speak/scripts/tts.sh render --srt input.srt --voice-map vm.json -o output.wav
bash skills/speak/scripts/tts.sh render --srt input.srt --voice-map vm.json --backend noiz --auto-emotion -o output.wav
| Need | Recommended |
|---|---|
| Just read text aloud, no fuss | Kokoro (default) |
| EPUB/PDF audiobook with chapters | Kokoro (native support) |
Voice blending ("v1:60,v2:40") | Kokoro |
| Voice cloning from reference audio | Noiz |
Emotion control (emo param) | Noiz |
| Exact server-side duration per segment | Noiz |
When the user needs emotion control + voice cloning + precise duration together, Noiz is the only backend that supports all three.
ffmpeg in PATH (timeline mode)bash skills/speak/scripts/tts.sh config --set-api-key YOUR_KEY--backend kokoro to use the local backendFor backend details and full argument reference, see reference.md.