matcha-tts-uz-v1

Uzbek Matcha-TTS Model Card

Model Overview

This is a fine-tuned Matcha-TTS (Matching Acoustic Conditions for TTS) model optimized for Uzbek language speech synthesis. The model has been specifically trained on male voice data and exported to ONNX format for maximum compatibility across devices and platforms.

Model Details

• Model Type: Text-to-Speech (TTS)
• Base Architecture: Matcha-TTS
• Language: Uzbek (uz)
• Voice Gender: Male
• Format: ONNX (Open Neural Network Exchange)
• License: [Specify your license]

Key Features

Cross-Platform Compatibility

• Desktop: Windows, macOS, Linux
• Mobile: iOS, Android
• Hardware: CPU and GPU support
• Edge Deployment: Optimized for on-device inference

Technical Advantages

• ONNX Format: Enables deployment on any device with ONNX Runtime
• Efficient Inference: Optimized for real-time speech synthesis
• No Internet Required: Fully offline capable
• Lightweight: Suitable for resource-constrained devices

Intended Use

Primary Use Cases

• Uzbek language text-to-speech applications
• Accessibility tools for Uzbek speakers
• Voice assistants and chatbots
• Educational content creation
• Audiobook narration in Uzbek

Out-of-Scope Uses

• Voice cloning or impersonation
• Generation of misleading audio content
• Any use that violates privacy or consent

Training Data

• Voice Gender: Male speaker(s)
• Language: Uzbek

Performance

The model generates natural-sounding Uzbek speech with male voice characteristics. Performance metrics include:

• Audio Quality: 22.05 kHz
• Latency: Optimized for low-latency inference

Usage

Installation

pip install onnxruntime
# For GPU support
pip install onnxruntime-gpu

Basic Example

import onnxruntime as ort
import numpy as np

# Load the model
session = ort.InferenceSession("matcha_tts_uzbek_male.onnx")

# Prepare input text
text = "Salom, dunyo!"  # Hello, world! in Uzbek

# Run inference
# [Add specific preprocessing and inference code based on your implementation]
outputs = session.run(None, {"text": text})

# Get audio output
audio = outputs[0]

Limitations

• The model is trained specifically for male voice synthesis
• Performance may vary with complex or uncommon Uzbek words
• Pronunciation of foreign words may not be accurate
• The model's output quality depends on input text quality and formatting

Ethical Considerations

• This model should not be used to generate deceptive or misleading audio content
• Users should respect privacy and obtain consent when using synthetic voices in public contexts
• Consider disclosing when audio is AI-generated in appropriate contexts

<!-- ## Citation If you use this model in your research or application, please cite: ```bibtex @misc{uzbek_matcha_tts, title={Uzbek Matcha-TTS: Male Voice Model}, author={[Your Name/Organization]}, year={2024}, howpublished={\url{https://huggingface.co/[your-username]/[model-name]}} } ``` --> <!-- ## Contact & Support - **Hugging Face:** [your-username]/[model-name] - **Issues:** [Link to issues page] - **Email:** [your-email] -->

Changelog

Version 1.0.0

• Initial release
• Fine-tuned for Uzbek male voice
• ONNX export for cross-platform compatibility

Acknowledgments

• Based on the Matcha-TTS architecture
• Thanks to the Uzbek language community for support and feedback

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