emzod

speak-tts

4
0
# Install this skill:
npx skills add EmZod/speak

Or install specific skill: npx add-skill https://github.com/EmZod/speak

# Description

Give your agent the ability to speak to you real-time. Talk to your Claude! Local TTS, text-to-speech, voice synthesis, audio generation with voice cloning on Apple Silicon. Use for reading articles aloud, audiobook narration, or voice responses. Runs entirely on-device via MLX - private, no API keys.

# SKILL.md


name: speak-tts
description: Give your agent the ability to speak to you real-time. Talk to your Claude! Local TTS, text-to-speech, voice synthesis, audio generation with voice cloning on Apple Silicon. Use for reading articles aloud, audiobook narration, or voice responses. Runs entirely on-device via MLX - private, no API keys.


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

Requirement Check Install
Apple Silicon Mac uname -m → arm64 Intel not supported
macOS 12.0+ sw_vers -
sox which sox brew install sox
ffmpeg which ffmpeg brew install ffmpeg
poppler (PDF) which pdftotext brew install poppler

Input Sources

Source Example
Text file speak article.txt
Markdown speak doc.md
Direct string speak "Hello"
Clipboard pbpaste \| speak
Stdin cat file.txt \| speak

Web Articles

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

Converting Formats

Format Convert Command
PDF pdftotext doc.pdf doc.txt
DOCX textutil -convert txt doc.docx
HTML pandoc -f html -t plain doc.html > doc.txt

Output Modes

Goal Command
Save for later speak text.txt --output file.wav
Listen now (streaming) speak text.txt --stream
Listen now (complete) speak text.txt --play
Both speak 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

Directory Auto-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 Sample Bad Sample
Quiet room Background noise
Natural pace Rushed or monotone
Clear diction Mumbling
Varied content Repetitive 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."
Tag Effect
[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:

Files Correct Wrong
1-9 01, 02, ..., 09 1, 2, ..., 9
10-99 01, 02, ..., 99 1, 10, 2, ...
100+ 001, 002, ..., 999 1, 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

Issue Solution
Empty/garbled text Scanned PDF — use OCR: brew install tesseract
Wrong encoding Try: 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

Option Description Default
--stream Stream as it generates false
--play Play after complete false
--output <path> Output file ~/Audio/speak/
--output-dir <dir> Batch output directory -
--voice <path> Voice sample (full path) default
--timeout <sec> Timeout per file 300
--auto-chunk Split long documents false
--chunk-size <n> Chars per chunk 6000
--resume <file> Resume from manifest -
--keep-chunks Keep intermediate files false
--skip-existing Skip if output exists false
--estimate Show duration estimate false
--dry-run Preview only false
--quiet Suppress output false

Commands

Command Description
speak setup Set up environment
speak health Check system status
speak models List TTS models
speak concat Concatenate audio
speak daemon kill Stop TTS server
speak config Show configuration

Performance

Metric Value
Cold start ~4-8s
Warm start ~3-8s
Speed 0.3-0.5x 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

Error Cause Solution
"Voice file not found" Relative path Use full path: ~/.chatter/voices/x.wav
"Invalid WAV format" Wrong specs Convert: ffmpeg -i in.wav -ar 24000 -ac 1 out.wav
"Voice sample too short" <10 seconds Record 15-25 seconds
"Output directory doesn't exist" Not created mkdir -p dirname/
"sox not found" Not installed brew install sox
Scrambled concat order Non-zero-padded Use 01, 02, not 1, 2
Timeout >5 min generation Use --auto-chunk or --timeout 600
"Server not running" Stale daemon speak 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

# README.md

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                          ╚════██║██╔═══╝ ██╔══╝  ██╔══██║██╔═██╗ 
                          ███████║██║     ███████╗██║  ██║██║  ██╗
                          ╚══════╝╚═╝     ╚══════╝╚═╝  ╚═╝╚═╝  ╚═╝

Talk to your Claude.

License Voice Cloning Platform

Voice cloning. Long documents. Audiobook quality. Local & private.

speak article.md --stream → Audio starts in seconds


Install

For AI Agents (Claude Code, Cursor, Windsurf):

npx skills add EmZod/speak

CLI:

git clone https://github.com/EmZod/speak.git
cd speak && bun install
alias speak="bun run $(pwd)/src/index.ts"

Requirements: macOS Apple Silicon · Bun · Python 3.10+ · sox (brew install sox)


Usage

speak "Hello, world!" --play        # Generate and play
speak article.md --stream           # Stream long content  
speak document.md --output out.wav  # Save to file
speak --clipboard --play            # Read from clipboard

Voice Cloning

Clone any voice from a 10-30 second sample:

# Use your cloned voice
speak "Hello" --voice ~/.chatter/voices/morgan_freeman.wav --play

Long Documents

speak book.md --auto-chunk --output book.wav    # Auto-chunk for reliability
speak --resume manifest.json                     # Resume interrupted generation
speak *.md --output-dir ~/Audio/                 # Batch processing
speak --estimate document.md                     # Estimate duration first

Commands

speak <text|file>      Generate speech
speak health           Check system status
speak models           List available models
speak concat <files>   Combine audio files
speak daemon kill      Stop TTS server

Options

--play          Play after generation
--stream        Stream as it generates
--output        Output file or directory
--voice         Custom voice file (WAV)
--auto-chunk    Chunk long documents
--estimate      Show duration estimate
--dry-run       Preview without generating

Performance

Long documents     ████████████████████  Streaming, auto-chunk
Voice cloning      ████████████████████  Any voice from sample
Emotion tags       ████████████████████  [laugh], [sigh], etc.
Quality            ████████████████████  Audiobook grade

See Also

Need instant audio (~90ms)? Try speakturbo.


Documentation

File Content
SKILL.md Full usage guide for agents
docs/usage.md Complete CLI reference
docs/troubleshooting.md Common issues & fixes
AGENTS.md Architecture & development

MIT License · Built on Chatterbox TTS

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.