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Screenshot of Kokoro-82M

Kokoro-82M

huggingface.co

Kokoro-82M is an open-weight text-to-speech model with 82 million parameters, released by hexgrad on Hugging Face under an Apache 2.0 license. It converts written text into spoken American and British English audio and offers several selectable voicepacks.

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At a glance

Category
Audio & Voice

hexgrad/Kokoro-82M Model Overview

Introduction

Kokoro-82M is a cutting-edge text-to-speech (TTS) model developed by hexgrad and hosted on Hugging Face. Designed to advance and democratize artificial intelligence, Kokoro boasts 82 million parameters and provides remarkable performance in generating human-like speech from text inputs.

Model Features

The key features of Kokoro-82M include:

  • Text-to-Speech Conversion: Converts written text into spoken audio, supporting both American and British English.
  • Release of Weights: The model weights for Kokoro-82M were publicly released in full float precision (fp32) under an Apache 2.0 license on December 25, 2024.
  • Voicepacks Availability: As of January 2025, ten unique Voicepacks have been released, allowing users to explore different voice styles and characteristics.

Performance

Kokoro-82M has achieved significant recognition within community rankings:

  • It was ranked #1 in the TTS Spaces Arena prior to its release, demonstrating superior performance relative to other models despite a smaller parameter count and training data.
  • While other prominent models boast hundreds of millions of parameters and extensive training datasets, Kokoro's efficiency shows that smaller models can outperform larger counterparts in specific contexts, suggesting a potential shift in the understanding of scaling laws in TTS technology.

Usage Instructions

The model can be easily utilized in Google Colab with the following steps:

  1. Install Required Libraries: Commands to install the necessary dependencies.
  2. Build the Model: Instructions to set up the model and load the default voicepack.
  3. Generate Audio: A simple example code to convert sample text into audio output.
  4. Playback: The output audio can be played directly within the notebook.

A more extensive set of instructions can be found in the provided code snippet, including handling installation issues on different operating systems.

Technical Specifications

Model Architecture

Kokoro-82M has been developed using advanced neural network architectures, including:

  • StyleTTS 2
  • ISTFTNet

These architectures allow for effective audio synthesis without the need for state-of-the-art diffusion or encoder models, enhancing the model’s overall efficiency.

Training Details

Kokoro was trained on NVIDIA A100 GPUs with less than 100 hours of carefully curated and permissive audio data. The training methodology prioritized open-source licensing and compliance with copyright rules, ensuring the ethical use of data in developing the model.

Limitations

Despite its strengths, Kokoro-82M has limitations:

  • The model lacks voice cloning capabilities and relies on external tools, which may introduce failure modes.
  • Its training data predominantly consists of long-form narration, limiting conversational capabilities.
  • Multilingual support is feasible but not fully realized given the current dataset.

Community and Support

The Kokoro model has an active community, with discussions facilitated through a Discord server dedicated to user support and development insights. Users are encouraged to participate and contribute to the discussions regarding improvements and potential feature expansions.

Application and Use Cases

Kokoro-82M is useful for a variety of applications, including:

  • Content Creation: Ideal for creators looking to automate voiceovers for videos or podcasts.
  • Accessibility: Provides users with reading capabilities for visually impaired individuals.
  • Language Learning: Assists learners by providing clear and accurate audio examples of text.
  • Game Development: Useful for developers who require dynamic audio generation for character dialogues and narrative elements.

Conclusion

The Kokoro-82M model exemplifies an important stride in TTS technology, showcasing that efficiency and accessibility can coexist with high-quality audio generation. Its comprehensive features, community support, and varied applications make it a valuable tool for both developers and end-users in the field of artificial intelligence and speech synthesis. Whether you are a researcher, developer, or creative professional, Kokoro-82M provides a robust solution for your text-to-speech needs.

Ready to try it? Visit huggingface.co (opens in a new tab)

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