| name | audio-generation-cellcog |
| description | AI audio generation and text-to-speech powered by CellCog. Voiceover, narration, voice cloning, avatar voices, sound effects, music, podcasts, dialogue. Three voice providers (OpenAI, ElevenLabs, MiniMax). Professional audio production from text prompts. |
| metadata | {"openclaw":{"emoji":"🎵","os":["darwin","linux","windows"],"requires":{"bins":"[Truncated]","env":"[Truncated]"}}} |
| author | CellCog |
| homepage | https://cellcog.ai |
| dependencies | ["cellcog"] |
Audio Generation - AI Speech, Voiceover, and Sound Powered by CellCog
Create professional audio with AI — voiceovers, music, sound effects, and personalized avatar voices.
CellCog provides three voice providers, each with different strengths. Choose based on your needs:
| Scenario | Provider | Why |
|---|
| Standard narration/voiceover | OpenAI | Best voice style control, consistent quality |
| Emotional/dramatic delivery | ElevenLabs | Richest emotional range, supports emotion tags |
| Cloned voice (avatar) | MiniMax | Only provider with voice cloning support |
| Character voice with specific accent | ElevenLabs | 100+ diverse pre-made voices |
| Fine pitch/speed/volume control | MiniMax | Granular voice settings |
How to Use
For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.
OpenClaw (fire-and-forget):
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
)
All agents except OpenClaw (blocks until done):
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
)
print(result["message"])
Voice Providers
OpenAI (Default)
Best for standard narration, voiceovers, and single-speaker content with precise delivery control.
Key strength: Natural-language style instructions — describe the accent, tone, pacing, and emotion you want.
8 built-in voices:
| Voice | Gender | Characteristics |
|---|
| cedar | Male | Warm, resonant, authoritative, trustworthy |
| marin | Female | Bright, articulate, emotionally agile, professional |
| ballad | Male | Smooth, melodic, musical quality |
| coral | Female | Vibrant, lively, dynamic, spirited |
| echo | Male | Calm, measured, thoughtful, deliberate |
| sage | Female | Wise, contemplative, reflective |
| shimmer | Female | Soft, gentle, soothing, approachable |
| verse | Male | Poetic, rhythmic, artistic, expressive |
Best quality: cedar (male), marin (female).
Style customization examples:
- "Warm conversational tone, medium pace, slight enthusiasm when mentioning features. American accent."
- "Deep, hushed, enigmatic, with a slow deliberate cadence — true crime narrator style."
- "Heavy French accent, sophisticated yet friendly, moderate pacing with deliberate pauses."
ElevenLabs
Best for emotional delivery, dramatic content, character voices, and audiobook narration.
Key strength: Emotion tags embedded directly in text — [laughs], [sighs], [whispers], [excited], [sarcastic]. Plus 100+ diverse pre-made voices.
Emotion tags (use sparingly — 1-2 per paragraph):
| Tag | Effect |
|---|
[laughs] | Natural laughter |
[chuckles] | Soft/brief laughter |
[sighs] | Sighing |
[gasps] | Surprise/shock |
[whispers] | Whispering delivery |
[pause] | Natural pause/beat |
[sad], [happy], [excited], [angry], [sarcastic] | Emotional delivery |
Example prompt:
"Generate speech using ElevenLabs with a warm British male voice:
'And then, just when everyone thought it was over... [pause] [whispers] it wasn't.'"
MiniMax
Best for cloned voices (avatars) and fine-grained voice control.
Key strength: MiniMax Speech 2.8 HD — studio-grade audio quality. Supports avatar cloned voice IDs for personalized content, plus 17+ standard pre-made voices with granular speed, pitch, and volume control.
Standard voices include: Deep_Voice_Man, Calm_Woman, Casual_Guy, Lively_Girl, Wise_Woman, Friendly_Person, Young_Knight, Elegant_Man, and more.
Voice settings: emotion (happy/sad/angry/neutral/etc.), speed (0.5–2.0), volume (0–10), pitch (-12 to 12).
Avatar / Cloned Voice
Users can create avatars on CellCog with their own cloned voice. When an avatar has a cloned voice, CellCog uses the MiniMax provider to generate speech that sounds like that person.
How it works:
- The user creates an avatar on cellcog.ai and uploads voice samples
- CellCog clones their voice using MiniMax Speech 2.8 HD
- Any audio request referencing that avatar uses their cloned voice
Example prompt:
"Generate a voiceover using my avatar Luna's voice: 'Welcome to our quarterly update. I'm excited to share some incredible results with you today.'"
This is powerful for creating consistent, personalized content — marketing videos, podcast intros, course narration — all in the user's own voice.
Sound Effects (SFX)
CellCog generates standalone sound effects from text descriptions. Royalty-free, 0.1 to 30 seconds.
Example prompts:
- "Generate a sound effect of heavy rain hitting a metal roof with occasional thunder, 10 seconds"
- "Create a crispy footsteps-on-fresh-snow sound effect, 5 seconds"
- "Generate an echoing door slam in a large empty warehouse"
Tips for better SFX:
- Be specific about textures and environment
- Specify duration when exact length matters
- For ambient audio longer than 30 seconds, generate a short loopable segment and extend with ffmpeg
Music Generation
Create original music from text descriptions. 3 seconds to 10 minutes. Royalty-free.
Capabilities:
- Any genre or genre fusion
- Instrumental and vocal tracks (specify if you want vocals)
- Complex arrangements, mood transitions, and energy dynamics
- Describe what you want — the model handles music theory
Example prompts:
- "Create 2 minutes of calm lo-fi hip-hop background music with soft piano and mellow beats, 75 BPM"
- "Generate a 15-second upbeat tech podcast intro jingle"
- "Create 90 seconds of cinematic orchestral music — start soft and inspiring, build to a confident crescendo"
- "Generate a 3-minute pop song about summer adventures with female vocals"
For precise section-by-section control (exact timing per section), describe your composition plan in detail — CellCog handles the structure.
All generated music is royalty-free — use commercially without attribution or licensing fees.
Multi-Language Support
All three voice providers support 40+ languages. Provide speech text in the target language:
English, Spanish, French, German, Italian, Portuguese, Chinese (Mandarin/Cantonese), Japanese, Korean, Hindi, Arabic, Russian, Polish, Dutch, Turkish, and many more.
Choosing Mode & Tier
| Scenario | Recommended |
|---|
| Speech, narration, sound effects | chat_mode="agent" (defaults to the "flash" tier) |
| Long-form productions with many segments | chat_mode="agent", chat_tier="max" |
The flash tier is the default and handles most audio generation well — fast and economical. Upgrade to chat_tier="max" when quality disappoints or the work is genuinely complex: just re-run the same prompt with chat_tier="max".
Agent Team (chat_mode="team") is reserved for deep research — don't use it for audio generation.
Tips for Better Audio
- Choose the right provider: OpenAI for standard narration, ElevenLabs for emotional/dramatic, MiniMax for cloned voices
- Provide the complete script: Write out exactly what should be spoken — don't say "something about our product"
- Include style instructions: "Confident but warm", "slow and deliberate", "with slight excitement"
- For music: Specify duration, mood, genre, and tempo (BPM if you know it)
- Pronunciation guidance: For names or technical terms, add hints: "CellCog (pronounced SELL-kog)"
- For ElevenLabs emotion tags: Use sparingly — 1-2 per paragraph. Tags affect all subsequent text until a new tag.
If CellCog is not installed
Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog
OpenClaw: openclaw skills install @cellcog/cellcog
CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool)
Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.
