Skills
skills/b-open-io/prompts/voice-clone

voice-clone

SKILL.md

Voice Clone

Clone voices end-to-end using ElevenLabs Instant Voice Cloning (IVC). This skill handles the full pipeline from finding reference audio to a tuned, ready-to-use voice.

Prerequisites

# ElevenLabs API key must be set
echo $ELEVENLABS_API_KEY

# If not set: https://elevenlabs.io → Profile → API Keys
# Add to shell profile: export ELEVENLABS_API_KEY="your-key"

# IVC requires Starter tier or above
# Check your tier: curl -s https://api.elevenlabs.io/v1/user \
#   -H "xi-api-key: $ELEVENLABS_API_KEY" | jq '.subscription.tier'

Pipeline Overview

1. Source Audio    →  Find/download reference clips of the target voice
2. Prepare        →  Trim, normalize, ensure clean speech-only audio
3. Clone (IVC)    →  Upload samples to ElevenLabs Instant Voice Cloning
4. Test           →  Generate speech with the new voice, compare to reference
5. Tune           →  Adjust stability/similarity/style settings for best match

Each step is handled by the scripts/voice-clone.ts script. You can run the full pipeline or individual steps.

Step 1: Source Reference Audio

Good clones start with good samples. The script can download audio from URLs or use local files.

What makes good reference audio:

  • Clear speech with minimal background noise
  • 1-5 minutes total across all samples (more isn't always better for IVC)
  • Varied intonation — don't use monotone reads
  • Multiple clips are better than one long clip
  • MP3, WAV, or M4A format

For famous/iconic voices, search for:

  • Interview clips, press junkets, behind-the-scenes footage
  • Isolated vocal tracks (search "voice isolated" or "acapella")
  • Podcast appearances (often cleanest audio)
# Download audio from a URL
bun run scripts/voice-clone.ts source \
  --url "https://example.com/interview.mp3" \
  --output-dir ./voice-samples

# Use local files
bun run scripts/voice-clone.ts source \
  --files "./samples/clip1.mp3,./samples/clip2.wav" \
  --output-dir ./voice-samples

Using yt-dlp for YouTube/Video Sources

For YouTube interviews, speeches, or other video sources:

# Install yt-dlp if needed
brew install yt-dlp  # or: bun add -g yt-dlp

# Download audio only from a video
yt-dlp -x --audio-format mp3 --audio-quality 0 \
  -o "./voice-samples/%(title)s.%(ext)s" \
  "https://youtube.com/watch?v=VIDEO_ID"

# Download specific time range (requires ffmpeg)
yt-dlp -x --audio-format mp3 \
  --postprocessor-args "ffmpeg:-ss 00:01:30 -to 00:03:45" \
  -o "./voice-samples/clip.%(ext)s" \
  "https://youtube.com/watch?v=VIDEO_ID"

Step 2: Prepare Samples

Trim silence, normalize volume, and optionally remove background noise. Uses ffmpeg for processing.

# Prepare all files in a directory
bun run scripts/voice-clone.ts prepare \
  --input-dir ./voice-samples \
  --output-dir ./voice-prepared

# Options
bun run scripts/voice-clone.ts prepare \
  --input-dir ./voice-samples \
  --output-dir ./voice-prepared \
  --trim-silence          # Remove leading/trailing silence
  --normalize             # Normalize to -16 LUFS
  --max-duration 60       # Trim clips to max 60 seconds each

ffmpeg must be installed (brew install ffmpeg). The script validates this before proceeding.

Step 3: Clone via IVC

Upload prepared samples to ElevenLabs Instant Voice Cloning.

# Clone from prepared samples
bun run scripts/voice-clone.ts clone \
  --input-dir ./voice-prepared \
  --name "Movie Announcer" \
  --description "Deep dramatic voice in the style of classic movie trailers" \
  --remove-background-noise

# With labels for organization
bun run scripts/voice-clone.ts clone \
  --input-dir ./voice-prepared \
  --name "Movie Announcer" \
  --description "Deep dramatic voice" \
  --labels '{"accent":"american","age":"middle-aged","gender":"male","use_case":"trailer_narration"}'

The script outputs the voice_id on success. Save this — you need it for testing and TTS.

Step 4: Test the Clone

Generate test speech to compare against the reference. The script produces test audio files and prints the voice_id for further use.

# Quick test with default phrases
bun run scripts/voice-clone.ts test \
  --voice-id "VOICE_ID_FROM_STEP_3" \
  --output-dir ./voice-tests

# Test with custom text
bun run scripts/voice-clone.ts test \
  --voice-id "VOICE_ID_FROM_STEP_3" \
  --text "In a world where darkness threatens to consume all hope..." \
  --output-dir ./voice-tests

# Test with specific model
bun run scripts/voice-clone.ts test \
  --voice-id "VOICE_ID_FROM_STEP_3" \
  --model eleven_v3 \
  --output-dir ./voice-tests

Listen to the output and compare with reference audio. If the voice sounds off, try:

  • Different reference samples (quality matters more than quantity)
  • Enabling --remove-background-noise during clone step
  • Adjusting settings in Step 5

Step 5: Tune Voice Settings

Adjust stability, similarity boost, and style to dial in the voice.

# Tune and regenerate test audio
bun run scripts/voice-clone.ts tune \
  --voice-id "VOICE_ID_FROM_STEP_3" \
  --stability 0.3 \
  --similarity-boost 0.8 \
  --style 0.5 \
  --text "In a world where nothing is as it seems..." \
  --output-dir ./voice-tests

Settings guide:

Setting Low (0.0) High (1.0) Default
stability More expressive, varied More consistent, monotone 0.5
similarity-boost More generic Closer to original voice 0.75
style Neutral delivery More stylistic/dramatic 0.0

Tips for specific voice types:

  • Dramatic narrator: stability 0.25-0.35, similarity 0.8, style 0.5-0.7
  • Professional voiceover: stability 0.5, similarity 0.75, style 0.2
  • Character voice: stability 0.3, similarity 0.85, style 0.6
  • Natural conversational: stability 0.5, similarity 0.7, style 0.3

Full Pipeline (One Command)

Run all steps in sequence:

bun run scripts/voice-clone.ts pipeline \
  --files "./samples/clip1.mp3,./samples/clip2.mp3" \
  --name "Movie Announcer" \
  --description "Deep dramatic voice for movie trailers" \
  --test-text "In a world where heroes are forgotten..." \
  --remove-background-noise \
  --output-dir ./movie-announcer-voice

This runs source → prepare → clone → test in sequence and outputs a summary with the voice_id and test audio paths.

Managing Voices

# List all your cloned voices
bun run scripts/voice-clone.ts list

# Delete a cloned voice
bun run scripts/voice-clone.ts delete --voice-id "VOICE_ID"

# Get details about a voice
bun run scripts/voice-clone.ts info --voice-id "VOICE_ID"

IVC Limitations

  • Starter tier: Up to 10 custom voices, 65 total voice add/edits
  • Max samples: 25 files per voice
  • Max file size: 10MB per file
  • Supported formats: MP3, WAV, M4A, FLAC, OGG, WEBM
  • Best results: 1-3 minutes of clean, varied speech
  • No fine-tuning: IVC is instant — what you get is what you get. If unhappy, try different samples or settings.

Example: Movie Trailer Voice

# 1. Download Don LaFontaine-style reference clips
yt-dlp -x --audio-format mp3 --audio-quality 0 \
  -o "./movie-voice/samples/%(title)s.%(ext)s" \
  "https://youtube.com/watch?v=REFERENCE_VIDEO_ID"

# 2. Run the full pipeline
bun run scripts/voice-clone.ts pipeline \
  --input-dir ./movie-voice/samples \
  --name "Epic Trailer Voice" \
  --description "Deep, dramatic movie trailer narrator. Gravelly baritone with commanding presence." \
  --test-text "In a world where darkness threatens everything... one voice... will change it all." \
  --remove-background-noise \
  --labels '{"accent":"american","gender":"male","use_case":"trailer_narration"}' \
  --output-dir ./movie-voice

# 3. Fine-tune for maximum drama
bun run scripts/voice-clone.ts tune \
  --voice-id "VOICE_ID" \
  --stability 0.25 \
  --similarity-boost 0.85 \
  --style 0.7 \
  --text "This summer... prepare yourself... for the ride of a lifetime." \
  --output-dir ./movie-voice/tuned
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