marketing-shibata50/claude-code-ultimate-guide

Florian BRUNIAUX e60b24d27c docs(examples): add YAML frontmatter to 19 miscellaneous example files

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-15 19:21:00 +01:00

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Agent Vibes - Complete Voice Catalog

Total Voices: 15 installed + 50+ available Languages: French (4 models, 128 speakers), English (12 models)

French Voices (Voix Françaises)

Overview

Voice ID	Gender	Quality	Speakers	Size	Recommended
fr_FR-tom-medium	Male	Medium	1	60MB	⭐️⭐️⭐️⭐️⭐️ Best FR male
fr_FR-siwis-medium	Female	Medium	1	60MB	⭐️⭐️⭐️⭐️ Clear, natural
fr_FR-upmc-medium	Neutral	Medium	1	73MB	⭐️⭐️⭐️ Multi-purpose
fr_FR-mls-medium	Mixed	Medium	124	73MB	⭐️⭐️⭐️⭐️⭐️ Maximum variety

fr_FR-tom-medium ⭐️⭐️⭐️⭐️⭐️

Gender: Male Quality: Medium Character: Professional, clear pronunciation, neutral accent Best For: Technical documentation, code reviews, professional context Latency: ~200ms

Usage:

# In Claude Code
/agent-vibes:switch fr_FR-tom-medium

# Manual test
echo "Bonjour, je m'appelle Tom. Je suis une voix synthétique française." | \
  piper -m ~/.claude/piper-voices/fr_FR-tom-medium.onnx \
  --output-file /tmp/tom.wav && afplay /tmp/tom.wav

Audio Sample: Listen at https://rhasspy.github.io/piper-samples/ (search "fr_FR tom")

fr_FR-siwis-medium ⭐️⭐️⭐️⭐️

Gender: Female Quality: Medium Character: Warm, natural, slightly Swiss accent Best For: Tutorials, educational content, friendly interactions Latency: ~200ms

Usage:

# In Claude Code
/agent-vibes:switch fr_FR-siwis-medium

# Manual test
echo "Bonjour, je suis Siwis. J'ai une voix claire et agréable." | \
  piper -m ~/.claude/piper-voices/fr_FR-siwis-medium.onnx \
  --output-file /tmp/siwis.wav && afplay /tmp/siwis.wav

Audio Sample: https://rhasspy.github.io/piper-samples/ (search "fr_FR siwis")

fr_FR-upmc-medium ⭐️⭐️⭐️

Gender: Neutral (slightly female-leaning) Quality: Medium Character: Technical, precise, academic tone Best For: Scientific content, data analysis, formal presentations Latency: ~220ms (larger model)

Usage:

# In Claude Code
/agent-vibes:switch fr_FR-upmc-medium

# Manual test
echo "Analyse des données en cours. Résultats disponibles dans quelques instants." | \
  piper -m ~/.claude/piper-voices/fr_FR-upmc-medium.onnx \
  --output-file /tmp/upmc.wav && afplay /tmp/upmc.wav

Audio Sample: https://rhasspy.github.io/piper-samples/ (search "fr_FR upmc")

fr_FR-mls-medium ⭐️⭐️⭐️⭐️⭐️ (Multi-Speaker)

Gender: Mixed (49 female, 75 male) Quality: Medium Speakers: 124 different voices Character: Massive variety (young, old, accents, tones) Best For: Dialogue simulations, variety, character voices Latency: ~200ms + speaker selection

Usage:

# In Claude Code (uses default speaker)
/agent-vibes:switch fr_FR-mls-medium

# Manual test with specific speaker (0-123)
echo "Je suis le speaker numéro 42" | \
  piper -m ~/.claude/piper-voices/fr_FR-mls-medium.onnx -s 42 \
  --output-file /tmp/mls-42.wav && afplay /tmp/mls-42.wav

# Test multiple speakers
for speaker in {0..5}; do
  echo "Bonjour, speaker $speaker" | \
    piper -m ~/.claude/piper-voices/fr_FR-mls-medium.onnx -s $speaker \
    --output-file /tmp/mls-$speaker.wav
  afplay /tmp/mls-$speaker.wav
  sleep 1
done

Speaker Selection:

0-48: Female voices (49 total)
49-123: Male voices (75 total)

Recommended Speakers:

Speaker ID	Gender	Character
7	Female	Young, energetic
15	Female	Mature, professional
23	Female	Warm, friendly
55	Male	Deep, authoritative
72	Male	Clear, technical
99	Male	Young, casual

Audio Samples: https://rhasspy.github.io/piper-samples/ (search "fr_FR mls")

English Voices (Voix Anglaises)

Overview

Voice ID	Gender	Quality	Character	Recommended
en_US-ryan-high	Male	High	Professional	⭐️⭐️⭐️⭐️⭐️ Best EN
en_US-amy-medium	Female	Medium	Warm, natural	⭐️⭐️⭐️⭐️
en_US-lessac-medium	Male	Medium	Authoritative	⭐️⭐️⭐️⭐️
en_US-libritts-high	Mixed	High	Very natural	⭐️⭐️⭐️⭐️⭐️
en_US-hfc_female-medium	Female	Medium	Technical	⭐️⭐️⭐️
en_US-bryce-medium	Male	Medium	Young, dynamic	⭐️⭐️⭐️
en_US-danny-low	Male	Low	Fast, efficient	⭐️⭐️
en_US-kathleen-low	Female	Low	Fast, efficient	⭐️⭐️
en_US-kusal-medium	Male	Medium	Indian accent	⭐️⭐️⭐️
en_US-kristin-medium	Female	Medium	Clear, neutral	⭐️⭐️⭐️⭐️
en_US-libritts_r-high	Mixed	High	Very natural	⭐️⭐️⭐️⭐️⭐️
16Speakers	Multi	Medium	16 different	⭐️⭐️⭐️⭐️

en_US-ryan-high ⭐️⭐️⭐️⭐️⭐️

Gender: Male Quality: High (best English voice) Character: Professional news anchor, clear pronunciation Best For: Professional presentations, documentation, code reviews Latency: ~400ms (high quality model)

Usage:

/agent-vibes:switch en_US-ryan-high

en_US-amy-medium ⭐️⭐️⭐️⭐️

Gender: Female Quality: Medium Character: Warm, friendly, conversational Best For: Tutorials, casual interactions, educational content Latency: ~200ms

Usage:

/agent-vibes:switch en_US-amy-medium

en_US-libritts-high ⭐️⭐️⭐️⭐️⭐️

Gender: Mixed (multi-speaker) Quality: High Character: Very natural, expressive Best For: High-quality audio narration Latency: ~400ms

Usage:

/agent-vibes:switch en_US-libritts-high

16Speakers ⭐️⭐️⭐️⭐️ (Multi-Speaker English)

Gender: Mixed (8 female, 8 male) Quality: Medium Speakers: 16 different English voices Character: Variety of ages, accents, tones Best For: Dialogue, variety, character narration Latency: ~200ms + speaker selection

Usage:

# Default speaker
/agent-vibes:switch 16Speakers

# Specific speaker (0-15)
echo "I am speaker number 5" | \
  piper -m ~/.claude/piper-voices/16Speakers.onnx -s 5 \
  --output-file /tmp/16sp-5.wav && afplay /tmp/16sp-5.wav

Low-Quality Voices (Faster, Lower Quality)

When to Use Low-Quality

Battery optimization (50% faster generation)
Latency-sensitive applications (<150ms requirement)
Quick prototyping or testing
Background notifications (quality less important)

Available Low-Quality Models

Voice ID	Gender	Latency	Quality
en_US-danny-low	Male	~100ms	⭐️⭐️
en_US-kathleen-low	Female	~100ms	⭐️⭐️
fr_FR-gilles-low	Male	~100ms	⭐️⭐️
fr_FR-siwis-low	Female	~100ms	⭐️⭐️

Download Low-Quality Voice:

cd ~/.claude/piper-voices
curl -L -o fr_FR-gilles-low.onnx \
  "https://huggingface.co/rhasspy/piper-voices/resolve/main/fr/fr_FR/gilles/low/fr_FR-gilles-low.onnx"
curl -L -o fr_FR-gilles-low.onnx.json \
  "https://huggingface.co/rhasspy/piper-voices/resolve/main/fr/fr_FR/gilles/low/fr_FR-gilles-low.onnx.json"

High-Quality Voices (Slower, Better Quality)

When to Use High-Quality

Professional presentations
Content creation (videos, podcasts)
Demos or public showcases
When latency is not critical

Available High-Quality Models

Voice ID	Gender	Latency	Quality
en_US-ryan-high	Male	~400ms	⭐️⭐️⭐️⭐️⭐️
en_US-libritts-high	Mixed	~400ms	⭐️⭐️⭐️⭐️⭐️
en_US-libritts_r-high	Mixed	~400ms	⭐️⭐️⭐️⭐️⭐️
fr_FR-siwis-high	Female	~400ms	⭐️⭐️⭐️⭐️⭐️

Download High-Quality Voice:

cd ~/.claude/piper-voices
curl -L -o fr_FR-siwis-high.onnx \
  "https://huggingface.co/rhasspy/piper-voices/resolve/main/fr/fr_FR/siwis/high/fr_FR-siwis-high.onnx"
curl -L -o fr_FR-siwis-high.onnx.json \
  "https://huggingface.co/rhasspy/piper-voices/resolve/main/fr/fr_FR/siwis/high/fr_FR-siwis-high.onnx.json"

Additional Languages

Piper TTS supports 50+ languages. Download additional voices from Hugging Face.

Popular Languages Available

Language	Voices Available	Repository
Spanish (es_ES)	10+ voices	Link
German (de_DE)	8+ voices	Link
Italian (it_IT)	6+ voices	Link
Portuguese (pt_BR)	5+ voices	Link
Russian (ru_RU)	4+ voices	Link
Chinese (zh_CN)	3+ voices	Link

Download Spanish Voice Example

cd ~/.claude/piper-voices

# Spanish male voice (Davefx - high quality)
curl -L -o es_ES-davefx-medium.onnx \
  "https://huggingface.co/rhasspy/piper-voices/resolve/main/es/es_ES/davefx/medium/es_ES-davefx-medium.onnx"
curl -L -o es_ES-davefx-medium.onnx.json \
  "https://huggingface.co/rhasspy/piper-voices/resolve/main/es/es_ES/davefx/medium/es_ES-davefx-medium.onnx.json"

# Test
echo "Hola, soy Claude y hablo español" | \
  piper -m es_ES-davefx-medium.onnx \
  --output-file /tmp/es.wav && afplay /tmp/es.wav

Voice Selection Recommendations

By Use Case

Use Case	Recommended Voice	Reason
Technical Documentation	fr_FR-tom-medium	Clear, professional, technical tone
Code Reviews	en_US-ryan-high	Authoritative, clear pronunciation
Tutorials	fr_FR-siwis-medium	Warm, friendly, educational
Background Notifications	fr_FR-gilles-low	Fast, efficient, low latency
Professional Presentations	en_US-ryan-high	Best quality, professional
Variety/Dialogue	fr_FR-mls-medium	124 different voices
Battery Optimization	Any "-low" voice	50% faster generation

By Language

Primary Language	Best Voice	Alternative
French	fr_FR-tom-medium	fr_FR-mls-medium (variety)
English	en_US-ryan-high	en_US-libritts-high
Spanish	es_ES-davefx-medium	es_ES-carlfm-medium
German	de_DE-thorsten-high	de_DE-kerstin-low

Voice Comparison Tool

Compare voices side-by-side:

# Create comparison script
cat > /tmp/compare-voices.sh << 'EOF'
#!/bin/bash
TEXT="$1"
VOICES=("fr_FR-tom-medium" "fr_FR-siwis-medium" "fr_FR-upmc-medium")

for voice in "${VOICES[@]}"; do
  echo "Testing $voice..."
  echo "$TEXT" | piper -m ~/.claude/piper-voices/${voice}.onnx \
    --output-file /tmp/${voice}.wav
  afplay /tmp/${voice}.wav
  sleep 2
done
EOF

chmod +x /tmp/compare-voices.sh

# Compare voices
/tmp/compare-voices.sh "Bonjour, ceci est un test de comparaison"

Resources

Piper Voice Repository: https://huggingface.co/rhasspy/piper-voices
Audio Samples: https://rhasspy.github.io/piper-samples/
Voice Training: https://github.com/rhasspy/piper/blob/master/TRAINING.md
Custom Voices: https://community.rhasspy.org/c/piper/

Voice catalog maintained by Claude Code Ultimate Guide Last updated: 2026-01-22 | Piper TTS v1.3.0

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Agent Vibes - Complete Voice Catalog

French Voices (Voix Françaises)

Overview

fr_FR-tom-medium ⭐️⭐️⭐️⭐️⭐️

fr_FR-siwis-medium ⭐️⭐️⭐️⭐️

fr_FR-upmc-medium ⭐️⭐️⭐️

fr_FR-mls-medium ⭐️⭐️⭐️⭐️⭐️ (Multi-Speaker)

English Voices (Voix Anglaises)

Overview

en_US-ryan-high ⭐️⭐️⭐️⭐️⭐️

en_US-amy-medium ⭐️⭐️⭐️⭐️

en_US-libritts-high ⭐️⭐️⭐️⭐️⭐️

16Speakers ⭐️⭐️⭐️⭐️ (Multi-Speaker English)

Low-Quality Voices (Faster, Lower Quality)

When to Use Low-Quality

Available Low-Quality Models

High-Quality Voices (Slower, Better Quality)

When to Use High-Quality

Available High-Quality Models

Additional Languages

Popular Languages Available

Download Spanish Voice Example

Voice Selection Recommendations

By Use Case

By Language

Voice Comparison Tool

Resources

12 KiB

Raw Blame History