🎵 music

Kokoro-82M

A cutting-edge text-to-speech (TTS) model with 82 million parameters.

#speech synthesis
#Open source model
#text to speech
#Efficient computing
Kokoro-82M

Product Details

Kokoro-82M is a text-to-speech (TTS) model created by hexgrad and hosted on Hugging Face. It has 82 million parameters and is open source using the Apache 2.0 license. The model released v0.19 on December 25, 2024, and provides 10 unique voice packs. Kokoro-82M ranked first in TTS Spaces Arena, showing its efficiency in parameter scale and data usage. It supports US English and British English and can be used to generate high-quality speech output.

Main Features

1
Supports text-to-speech conversion in US English and UK English
2
Provides a variety of unique voice packages to generate different styles of voices
3
Achieve high-quality speech synthesis with few parameters and data
4
Efficient deployment via ONNX format
5
Provide easy-to-use API and documentation to facilitate developer integration

How to Use

1
1. Install dependencies: Run in Google Colab and install necessary libraries and tools, such as espeak-ng, phonemizer, etc.
2
2. Clone the model warehouse: Clone the Kokoro-82M model warehouse from Hugging Face.
3
3. Build the model and load the default voice package: Use the provided script to build the model and load the required voice package.
4
4. Generate speech: Call the generate function, pass in text and speech packets, and generate 24khz audio and used phonemes.
5
5. Play the audio and view the phonemes: Use IPython.display to play the generated audio and print the output phonemes.

Target Users

This model is suitable for application developers who require high-quality text-to-speech conversion, such as voice assistants, audiobook production, voice broadcast systems, etc. Kokoro-82M is an ideal choice for developers who want to achieve efficient speech synthesis in resource-constrained environments.

Examples

Provide natural language speech output for intelligent voice assistants

Create audiobooks and convert text content into speech readings

Automatically convert press releases into voice reports in the news broadcast system

Quick Access

Visit Website →

Categories

🎵 music
› AI model
› Text to sound

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