AI DevKit
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  • Introduction
    • AI DevKit 3.0
    • Update Logs
    • Troubleshooting
      • ❗Issues After Updating AIDevKit?
      • ❗The type or namespace name 'Newtonsoft' could not be found
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      • ❗Model 'modelName' not found
      • ❗The model `model name` does not exist or you do not have access to it
      • ❗The type or namespace name 'AndroidJavaObject' could not be found
      • ❗The type or namaspace name 'Plastic' does not exist
      • ❗Build Error: The name 'Asset Database' does not exist in the current context
      • ❗'ModelData.Create(Provider, string, UnixTime?, string)': not all code paths return a value
      • ⚠️ Timeout Issues
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    • FAQ
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  • Quick Start
    • Get API Keys
      • OpenAI API Key Guide
      • Google API Key Guide
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    • Text Generation
    • C# Object Generation
    • Image Generation
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    • Text to Speech (TTS)
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    • Voice Changer
    • Audio Isolation
  • Pro Features
    • Generation Menu
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      • AI Model Manager
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      • ElevenLabs Voice Library
  • Assistants API (OpenAI)
    • How it works
    • Creating custom functions
    • Creating assistants API
  • Advanced API Supports
    • OpenAI API
      • 💬Chat completions
      • 🖼️Image operations
      • 🗣️Text to speech
      • 🎙️Speech to text
        • Recording real-time in Unity
      • 💾Files
      • 🔎Embeddings
      • 🛡️Moderations
      • ⚙️Fine-tuning
    • Google API
      • 📝System instructions
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      • ⚙️Fine-tuning
      • ▶️Fucntion calling
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      • 💻Code execution
    • ElevenLabs API
  • Legacy Documents
    • AI DevKit 1.0 - 2.0
      • AI DevKit 2.0
      • AI DevKit 1.0
      • Preperation
      • Event Handlers
      • Scriptable Toolkits
        • Chat Streamer
        • Image Generator
        • Voice Transcriber
        • Voice Generator
      • Editor Tools
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  1. Quick Start

Audio Isolation

Use AI to extract clean vocals or speech from noisy audio.

This is useful for podcast cleanup, speech recognition preprocessing, or removing background noise in recorded clips. Powered by ElevenLabs Audio Isolation API.


✅ Basic Usage

AudioClip rawRecording = Resources.Load<AudioClip>("NoisyInput");

AudioClip cleanSpeech = await rawRecording
    .GENAudioIsolation()
    .SetOutputFormat(OutputFormat.MPEG)
    .ExecuteAsync();

🧼 The resulting clip will contain mostly vocal content, with noise removed or reduced.


⚙️ Configuration Options

Method
Description

SetOutputFormat(format)

Choose output format (MP3, WAV, PCM, etc.)

SetOutputPath(path)

Save location for processed file


📦 Example Use Case

Input: Phone recording with background street noise Output: Voice is isolated and easier to transcribe or play back cleanly


🧠 Tips

  • Pair this with Speech to Text to dramatically improve transcription accuracy.

  • If used in real-time input pipelines, consider pre-buffering audio and applying .AsAudioClip() conversion before playback.

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Last updated 18 days ago