Skillshub elevenlabs-core-workflow-b
install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/jeremylongshore/claude-code-plugins-plus-skills/elevenlabs-core-workflow-b" ~/.claude/skills/comeonoliver-skillshub-elevenlabs-core-workflow-b && rm -rf "$T"
manifest:
skills/jeremylongshore/claude-code-plugins-plus-skills/elevenlabs-core-workflow-b/SKILL.mdsource content
ElevenLabs Core Workflow B — Speech-to-Speech, Sound Effects & Audio Isolation
Overview
Secondary ElevenLabs workflows beyond TTS: (1) Speech-to-Speech voice conversion, (2) Sound Effects generation from text descriptions, (3) Audio Isolation for noise removal, and (4) Speech-to-Text transcription.
Prerequisites
- Completed
setupelevenlabs-install-auth - For STS: source audio file in MP3/WAV/M4A format
- For audio isolation: noisy audio file to clean
Instructions
Step 1: Speech-to-Speech (Voice Changer)
Transform audio from one voice to another using
POST /v1/speech-to-speech/{voice_id}:
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js"; import { createReadStream, createWriteStream } from "fs"; import { Readable } from "stream"; import { pipeline } from "stream/promises"; const client = new ElevenLabsClient(); async function speechToSpeech( sourceAudioPath: string, targetVoiceId: string, outputPath: string ) { const audio = await client.speechToSpeech.convert(targetVoiceId, { audio: createReadStream(sourceAudioPath), model_id: "eleven_english_sts_v2", // STS-specific model voice_settings: JSON.stringify({ stability: 0.5, similarity_boost: 0.8, style: 0.0, }), remove_background_noise: true, // Built-in noise removal }); await pipeline(Readable.fromWeb(audio as any), createWriteStream(outputPath)); console.log(`Voice-converted audio saved to ${outputPath}`); } // Convert your voice recording to sound like "Rachel" await speechToSpeech( "my_recording.mp3", "21m00Tcm4TlvDq8ikWAM", "converted.mp3" );
cURL equivalent:
curl -X POST "https://api.elevenlabs.io/v1/speech-to-speech/21m00Tcm4TlvDq8ikWAM" \ -H "xi-api-key: ${ELEVENLABS_API_KEY}" \ -F "audio=@my_recording.mp3" \ -F "model_id=eleven_english_sts_v2" \ -F 'voice_settings={"stability":0.5,"similarity_boost":0.8}' \ -F "remove_background_noise=true" \ --output converted.mp3
Step 2: Sound Effects Generation
Generate cinematic sound effects from text descriptions using
POST /v1/sound-generation:
async function generateSoundEffect( description: string, outputPath: string, options?: { duration?: number; // 0.5-30 seconds (null = auto) promptInfluence?: number; // 0-1 (default 0.3, higher = follows prompt more closely) loop?: boolean; // Seamless looping (default false) } ) { const audio = await client.textToSoundEffects.convert({ text: description, duration_seconds: options?.duration, prompt_influence: options?.promptInfluence ?? 0.3, // model_id: "eleven_text_to_sound_v2", // default }); await pipeline(Readable.fromWeb(audio as any), createWriteStream(outputPath)); console.log(`Sound effect saved to ${outputPath}`); } // Generate various sound effects await generateSoundEffect( "Heavy rain on a tin roof with distant thunder", "rain.mp3", { duration: 10, promptInfluence: 0.6 } ); await generateSoundEffect( "Sci-fi laser gun firing three quick bursts", "laser.mp3", { duration: 3, promptInfluence: 0.8 } ); await generateSoundEffect( "Gentle forest ambiance with birds chirping", "forest_loop.mp3", { duration: 15, loop: true } // Seamless loop for background audio );
cURL equivalent:
curl -X POST "https://api.elevenlabs.io/v1/sound-generation" \ -H "xi-api-key: ${ELEVENLABS_API_KEY}" \ -H "Content-Type: application/json" \ -d '{ "text": "Heavy rain on a tin roof with distant thunder", "duration_seconds": 10, "prompt_influence": 0.6 }' \ --output rain.mp3
Step 3: Audio Isolation (Voice Isolator)
Remove background noise from audio using
POST /v1/audio-isolation:
async function isolateVoice( noisyAudioPath: string, cleanOutputPath: string ) { const cleanAudio = await client.audioIsolation.audioIsolation({ audio: createReadStream(noisyAudioPath), }); await pipeline( Readable.fromWeb(cleanAudio as any), createWriteStream(cleanOutputPath) ); console.log(`Clean audio saved to ${cleanOutputPath}`); } // Remove background noise from a recording await isolateVoice("noisy_interview.mp3", "clean_interview.mp3");
Streaming variant for large files (
POST /v1/audio-isolation/stream):
async function isolateVoiceStreaming( noisyAudioPath: string, cleanOutputPath: string ) { const stream = await client.audioIsolation.audioIsolationStream({ audio: createReadStream(noisyAudioPath), }); const writer = createWriteStream(cleanOutputPath); for await (const chunk of stream) { writer.write(chunk); } writer.end(); }
cURL equivalent:
curl -X POST "https://api.elevenlabs.io/v1/audio-isolation" \ -H "xi-api-key: ${ELEVENLABS_API_KEY}" \ -F "audio=@noisy_interview.mp3" \ --output clean_interview.mp3
Step 4: Speech-to-Text (Transcription)
Transcribe audio with speaker diarization using
POST /v1/speech-to-text:
async function transcribeAudio(audioPath: string) { const result = await client.speechToText.convert({ audio: createReadStream(audioPath), model_id: "scribe_v1", // ElevenLabs' STT model // language_code: "en", // Optional: force language // diarize: true, // Enable speaker detection // timestamps_granularity: "word", // "word" or "character" }); console.log("Transcription:", result.text); // Word-level timestamps if (result.words) { for (const word of result.words) { console.log(`[${word.start.toFixed(2)}-${word.end.toFixed(2)}] ${word.text}`); } } return result; } await transcribeAudio("podcast_episode.mp3");
API Endpoint Summary
| Feature | Method | Endpoint | Billing |
|---|---|---|---|
| Speech-to-Speech | POST | | Per character |
| Sound Effects | POST | | Per generation |
| Audio Isolation | POST | | 1,000 chars/min of audio |
| Audio Isolation Stream | POST | | 1,000 chars/min of audio |
| Speech-to-Text | POST | | Per audio minute |
Sound Effect Tips
- Be specific: "wooden door creaking slowly open in a quiet room" beats "door sound"
- Specify quantity: "three quick gunshots" vs "gunshots"
- Set mood: "eerie", "cheerful", "aggressive" changes the output character
- Use
for precise results,prompt_influence: 0.6-0.8
for creative variation0.2-0.4 - Max duration: 30 seconds per generation
Audio Isolation Limits
| Aspect | Limit |
|---|---|
| Max file size | 500 MB |
| Max duration | 1 hour |
| Supported formats | MP3, WAV, M4A, FLAC, OGG, WEBM |
| PCM optimization | Use for lowest latency |
Error Handling
| Error | HTTP | Cause | Solution |
|---|---|---|---|
| 400 | Wrong model for STS | Use |
| 400 | STS input under 1 second | Use longer audio clip |
| 400 | STS input over limit | Trim to under 5 minutes |
| 400 | Nonsensical SFX description | Write descriptive, specific prompts |
| 413 | Audio isolation over 500MB | Compress or split the file |
| 401 | Character/generation limit hit | Check usage dashboard |
Resources
Next Steps
For common errors, see
elevenlabs-common-errors. For SDK patterns, see elevenlabs-sdk-patterns.