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speak-tts说 tts

Agent Skill

speak-tts 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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17,112

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:speak-tts(说 tts)
来源仓库:https://github.com/emzod/speak
仓库路径:skills/speak-tts
安装命令:
npx skills add https://github.com/emzod/speak --skill speak-tts
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/emzod/speak --skill speak-tts

简介

通过 Apple Silicon 上的语音克隆实现实时文本转语音,完全在设备上进行。

  • 支持多种输入源(文本文件、markdown、stdin、网络文章、PDF)和输出模式(流式传输、文件保存、播放或两者兼而有之)
  • 从 24000 Hz 单声道 10-30 秒 WAV 样本克隆语音;包括情感标签,例如[笑],[叹气],和[喘气]
  • 用于听觉效果
  • 具有长文档自动分块功能的批处理、串联实用程序以及中断生成的恢复功能
  • 需要 Apple Silicon Mac、macOS 12.0+ 和命令行工具(sox、ffmpeg、poppler);完全通过 MLX 在本地运行,无需 API 密钥

SKILL.md

speak - Talk to your Claude!

Give your agent the ability to speak to you real-time. Local text-to-speech, voice cloning, and audio generation on Apple Silicon. Give your agent the ability to speak to you real-time. Local TTS with voice cloning on Apple Silicon.

Prerequisites

RequirementCheckInstall
Apple Silicon Macuname -m → arm64Intel not supported
macOS 12.0+sw_vers-
soxwhich soxbrew install sox
ffmpegwhich ffmpegbrew install ffmpeg
poppler (PDF)which pdftotextbrew install poppler

Input Sources

SourceExample
Text filespeak article.txt
Markdownspeak doc.md
Direct stringspeak "Hello"
Clipboard`pbpaste \speak`
Stdin`cat file.txt \speak`

Web Articles

lynx -dump -nolist "https://example.com/article" | speak --output article.wav

Converting Formats

FormatConvert Command
PDFpdftotext doc.pdf doc.txt
DOCXtextutil -convert txt doc.docx
HTMLpandoc -f html -t plain doc.html > doc.txt

Output Modes

GoalCommand
Save for laterspeak text.txt --output file.wav
Listen now (streaming)speak text.txt --stream
Listen now (complete)speak text.txt --play
Bothspeak text.txt --stream --output file.wav

Default Behavior

speak article.txt          # → ~/Audio/speak/article.wav (no playback)
speak "Hello"              # → ~/Audio/speak/speak_<timestamp>.wav

Directory Auto-Creation

DirectoryAuto-Created?
~/Audio/speak/✓ Yes
~/.chatter/voices/✗ No
Custom directories✗ No

Always create custom directories first:

mkdir -p ~/.chatter/voices/
mkdir -p ~/Audio/custom/

Voice Cloning

Voice cloning generates speech that matches your vocal characteristics (pitch, tone, cadence) from a short recording.

Quality Expectations

  • Output captures general voice characteristics but is not a perfect replica
  • Quality depends heavily on sample quality
  • 15-25 seconds is optimal (10s minimum, 30s maximum)

Recording Your Voice

Using QuickTime:

  1. Open QuickTime Player → File → New Audio Recording
  2. Record 20 seconds of clear speech
  3. File → Export As → Audio Only (.m4a)
  4. Convert to WAV (see below)

Using sox (command line):

# -d = use default microphone
# Recording starts immediately and stops after 25 seconds
sox -d -r 24000 -c 1 ~/.chatter/voices/my_voice.wav trim 0 25

Converting to Required Format

Voice samples MUST be: WAV, 24000 Hz, mono, 10-30 seconds.

# From MP3
ffmpeg -i voice.mp3 -ar 24000 -ac 1 voice.wav

# From M4A (QuickTime)
ffmpeg -i voice.m4a -ar 24000 -ac 1 voice.wav

# Trim to 25 seconds
ffmpeg -i long.wav -t 25 -ar 24000 -ac 1 trimmed.wav

# Check sample properties
ffprobe -i voice.wav 2>&1 | grep -E "Duration|Stream"
# Should show: Duration ~15-25s, 24000 Hz, mono

Using Your Voice

# Create directory
mkdir -p ~/.chatter/voices/

# Move sample
mv voice.wav ~/.chatter/voices/my_voice.wav

# Test
speak "Testing my voice" --voice ~/.chatter/voices/my_voice.wav --stream

# Use for content
speak notes.txt --voice ~/.chatter/voices/my_voice.wav --output presentation.wav

Path requirements:

  • ✓ Works: ~/.chatter/voices/my_voice.wav (tilde expanded by shell)
  • ✓ Works: /Users/name/.chatter/voices/my_voice.wav
  • ✗ Fails: my_voice.wav (relative path)
  • ✗ Fails: ./voices/my_voice.wav (relative path)

Voice Sample Tips

Good SampleBad Sample
Quiet roomBackground noise
Natural paceRushed or monotone
Clear dictionMumbling
Varied contentRepetitive phrases

Default Voice

When --voice is omitted, a built-in default voice is used:

speak "Hello world" --stream  # Uses default voice

Emotion Tags

Tags produce audible effects (actual sounds), not spoken words:

speak "[sigh] Monday again." --stream
# Output: (sigh sound) "Monday again."
TagEffect
[laugh]Laughter
[chuckle]Light chuckle
[sigh]Sighing
[gasp]Gasping
[groan]Groaning
[clear throat]Throat clearing
[cough]Coughing
[crying]Crying
[singing]Sung speech

NOT supported: [pause], [whisper] (ignored)

For pauses: Use punctuation: "Wait... let me think."

Batch Processing

mkdir -p ~/Audio/book/
speak ch01.txt ch02.txt ch03.txt --output-dir ~/Audio/book/
# Creates: ch01.wav, ch02.wav, ch03.wav

# With auto-chunking (for long files)
speak chapters/*.txt --output-dir ~/Audio/book/ --auto-chunk

# Skip completed files
speak chapters/*.txt --output-dir ~/Audio/book/ --skip-existing

Auto-Chunk Behavior

When using --auto-chunk with batch processing:

  1. Each input file is chunked independently
  2. Chunks are generated and automatically concatenated per file
  3. Final output: one .wav per input file (e.g., ch01.wav)
  4. Intermediate chunks deleted (unless --keep-chunks)

You don't need to manually concatenate chunks — only concatenate final chapter files.

Concatenating Audio

# Explicit order (recommended)
speak concat ch01.wav ch02.wav ch03.wav --output book.wav

# Glob pattern (REQUIRES zero-padded filenames)
speak concat audiobook/*.wav --output book.wav

Zero-Padding Rules

Critical for correct concatenation order:

FilesCorrectWrong
1-901, 02,..., 091, 2,..., 9
10-9901, 02,..., 991, 10, 2,...
100+001, 002,..., 9991, 100, 2,...

Why: Shell glob expansion sorts alphabetically. 1, 10, 2 vs 01, 02, 10.

PDF to Audiobook (Complete Workflow)

Step 1: Find Chapter Boundaries

# Preview table of contents
pdftotext -f 1 -l 5 textbook.pdf toc.txt
cat toc.txt  # Note chapter page numbers

# Or search for "Chapter" markers
pdftotext textbook.pdf - | grep -n "Chapter"

Step 2: Extract Chapters (Zero-Padded!)

# For 100-page book with ~10 chapters
pdftotext -f 1 -l 12 -layout textbook.pdf ch01.txt
pdftotext -f 13 -l 25 -layout textbook.pdf ch02.txt
pdftotext -f 26 -l 38 -layout textbook.pdf ch03.txt
# ... continue for all chapters

Step 3: Estimate Time

speak --estimate ch*.txt
# Shows: total audio duration, generation time, storage needed

# Quick estimates:
# 1 page ≈ 2 min audio ≈ 1 min generation
# 100 pages ≈ 200 min audio ≈ 100 min generation ≈ 500 MB

Step 4: Generate Audio

mkdir -p audiobook/
speak ch01.txt ch02.txt ch03.txt --output-dir audiobook/ --auto-chunk
# Creates: audiobook/ch01.wav, audiobook/ch02.wav, audiobook/ch03.wav

Step 5: Concatenate

speak concat audiobook/ch01.wav audiobook/ch02.wav audiobook/ch03.wav --output complete_audiobook.wav
# Or with glob (only if zero-padded):
speak concat audiobook/ch*.wav --output complete_audiobook.wav

PDF Troubleshooting

IssueSolution
Empty/garbled textScanned PDF — use OCR: brew install tesseract
Wrong encodingTry: pdftotext -enc UTF-8 doc.pdf
Check word count`pdftotext doc.pdf - \wc -w` (should be >100)

Multi-Voice Content

mkdir -p podcast/scripts podcast/wav

echo "Welcome to the show." > podcast/scripts/01_host.txt
echo "Thanks for having me." > podcast/scripts/02_guest.txt

speak podcast/scripts/01_host.txt --voice ~/.chatter/voices/host.wav --output podcast/wav/01.wav
speak podcast/scripts/02_guest.txt --voice ~/.chatter/voices/guest.wav --output podcast/wav/02.wav

speak concat podcast/wav/01.wav podcast/wav/02.wav --output podcast.wav

Options Reference

OptionDescriptionDefault
--streamStream as it generatesfalse
--playPlay after completefalse
--output <path>Output file~/Audio/speak/
--output-dir <dir>Batch output directory-
--voice <path>Voice sample (full path)default
--timeout <sec>Timeout per file300
--auto-chunkSplit long documentsfalse
--chunk-size <n>Chars per chunk6000
--resume <file>Resume from manifest-
--keep-chunksKeep intermediate filesfalse
--skip-existingSkip if output existsfalse
--estimateShow duration estimatefalse
--dry-runPreview onlyfalse
--quietSuppress outputfalse

Commands

CommandDescription
speak setupSet up environment
speak healthCheck system status
speak modelsList TTS models
speak concatConcatenate audio
speak daemon killStop TTS server
speak configShow configuration

Performance

MetricValue
Cold start~4-8s
Warm start~3-8s
Speed0.3-0.5x RTF (faster than real-time)
Storage~2.5 MB/min, ~150 MB/hour

Resume Capability

For interrupted long generations:

# Single file with auto-chunk — use --resume
speak long.txt --auto-chunk --output book.wav
# If interrupted, manifest saved at ~/Audio/speak/manifest.json
speak --resume ~/Audio/speak/manifest.json

# Batch processing — use --skip-existing
speak ch*.txt --output-dir audiobook/ --auto-chunk
# If interrupted, re-run same command:
speak ch*.txt --output-dir audiobook/ --auto-chunk --skip-existing

Common Errors

ErrorCauseSolution
"Voice file not found"Relative pathUse full path: ~/.chatter/voices/x.wav
"Invalid WAV format"Wrong specsConvert: ffmpeg -i in.wav -ar 24000 -ac 1 out.wav
"Voice sample too short"<10 secondsRecord 15-25 seconds
"Output directory doesn't exist"Not createdmkdir -p dirname/
"sox not found"Not installedbrew install sox
Scrambled concat orderNon-zero-paddedUse 01, 02, not 1, 2
Timeout>5 min generationUse --auto-chunk or --timeout 600
"Server not running"Stale daemonspeak daemon kill && speak health

Setup

speak "test"     # Auto-setup on first run (downloads model ~500MB)
speak setup      # Or manual setup
speak health     # Verify everything works

Server Management

Server auto-starts and shuts down after 1 hour idle.

speak health        # Check status
speak daemon kill   # Stop manually

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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Claude

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按下载量换算1,596

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按下载量换算1,023

Gemini CLI

8.25%
按下载量换算471

安全审计

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可疑

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通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/emzod/speak --skill speak-tts 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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