kokoro-tts-intel

Kokoro TTS v0.19 - Intel iGPU Optimized

🎙️ Professional Text-to-Speech Model

This repository contains the Kokoro TTS v0.19 model optimized for Intel integrated GPU acceleration. Part of the Unicorn Orator platform by Magic Unicorn Unconventional Technology & Stuff Inc.

Key Features

• 50+ Professional Voices: American, British, various emotions and styles
• Intel iGPU Accelerated: 3-5x faster than CPU using OpenVINO
• OpenAI API Compatible: Drop-in replacement for OpenAI TTS
• Production Ready: Used in Unicorn Orator commercial deployments

Model Files

Quick Start

Using with Unicorn Orator (Recommended)

docker pull magicunicorn/unicorn-orator:intel-igpu-v1.0
docker run -p 8885:8880 magicunicorn/unicorn-orator:intel-igpu-v1.0

Direct Python Usage

import onnxruntime as ort
import numpy as np

# Load model with Intel iGPU optimization
providers = [('OpenVINOExecutionProvider', {
    'device_type': 'GPU',
    'precision': 'FP16'
})]

session = ort.InferenceSession('kokoro-v0_19.onnx', providers=providers)

# Run inference
outputs = session.run(None, {
    'tokens': phoneme_ids,  # Text as phoneme IDs
    'style': voice_embedding,  # 256-dim voice vector
    'speed': np.array([1.0])  # Speech rate
})

audio = outputs[0]  # 24kHz audio waveform

Voice Embeddings

The voices-v1.0.bin file contains 50+ pre-trained voices:

American Voices

• af_bella - Professional female narrator
• af_sarah - Warm, friendly tone
• af_sky - Young, energetic
• am_michael - Deep male narrator
• am_adam - Business professional

British Voices

• bf_emma - BBC-style presenter
• bm_george - Documentary narrator

Special Voices

• af_heart - Emotional, storytelling
• am_echo - Robotic/AI assistant
• And 40+ more...

Intel iGPU Optimization

Why Intel iGPU?

• Power Efficient: 15W TDP vs 75W+ for discrete GPUs
• No Extra Hardware: Uses integrated graphics already in Intel CPUs
• Shared Memory: Zero-copy access to system RAM
• Wide Availability: Present in most modern Intel laptops/desktops

Supported Hardware

• Intel Iris Xe (96 EU) - 11th gen and newer
• Intel Arc iGPU (128 EU) - Meteor Lake
• Intel UHD Graphics (32 EU) - Budget systems

Performance

On Intel Iris Xe (i7-1165G7):

• Speed: 150ms per sentence
• Memory: <500MB total
• Speedup: 3x faster than CPU

Model Architecture

Input Tensors

1. tokens (int64): Phoneme IDs from text
2. style (float32, 256): Voice embedding vector
3. speed (float32, 1): Speech rate multiplier (0.5-2.0)

Output

• audio (float32): Raw waveform at 24kHz sample rate

Technical Details

• Framework: ONNX Runtime with OpenVINO
• Precision: FP32 model, FP16 inference
• Opset: ONNX opset 20
• Optimization: Graph fusion, kernel optimization

Installation

Prerequisites

# Intel GPU drivers
sudo apt-get install intel-opencl-icd intel-level-zero-gpu level-zero

# Python packages
pip install onnxruntime-openvino==1.17.0
pip install numpy soundfile

API Usage Examples

Basic TTS

from kokoro_tts import KokoroTTS

tts = KokoroTTS(device='igpu')
audio = tts.synthesize("Hello world!", voice="af_bella")

Batch Processing

texts = ["First sentence.", "Second sentence."]
audios = tts.batch_synthesize(texts, voice="am_michael")

Custom Voice Mixing

# Blend two voices
voice_blend = 0.7 * voices['af_bella'] + 0.3 * voices['af_sarah']
audio = tts.synthesize("Blended voice test", style=voice_blend)

Benchmarks

Intel iGPU vs Other Platforms

Use Cases

• Audiobook Narration: Long-form content with consistent voice
• Podcast Production: Multi-speaker dialogue generation
• Video Voiceovers: Commercial and YouTube content
• Accessibility: Screen readers and assistive technology
• Interactive AI: Voice assistants and chatbots

License

MIT License - Free for commercial use

Citation

If you use Kokoro TTS in research:

@software{kokoro_tts_2024,
  title = {Kokoro TTS v0.19 - Intel iGPU Optimized},
  author = {Magic Unicorn Unconventional Technology & Stuff Inc},
  year = {2024},
  url = {https://huggingface.co/magicunicorn/kokoro-tts-intel}
}

Links

• Docker Hub: magicunicorn/unicorn-orator
• GitHub: Unicorn-Orator
• Execution Engine: Unicorn-Execution-Engine

Support

For issues or questions:

• GitHub Issues: Unicorn-Orator/issues
• HuggingFace Discussions: Enable in repo settings

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