Kokoro, a new text-to-speech model with 82 million parameters, generates realistic speech from text on local machines using CPU. It supports multiple languages and 50 distinct voices, prioritizing privacy without online processing.
Kokoro is a new text-to-speech (TTS) model that offers high-quality speech generation locally on machines. Its architecture allows it to run entirely on the CPU, making it a viable option for environments where privacy and local processing are preferred.
Despite its relatively small size of 82 million parameters, Kokoro achieves realistic speech output in several languages including English, Mandarin, and Hindi. It features around 50 distinct voices optimized mainly for English, showcasing its versatility in TTS applications.
The simplest way to set up Kokoro is through the Kokoro-FastAPI container image, which is approximately 5 GB in size and includes pre-downloaded voice models. Users can launch the container via Docker or Podman using specific command lines.
Kokoro provides a web UI for easy interaction at localhost:8880/web. It also integrates with the OpenAI speech API, simplifying the adaptation of existing applications. Sample code in JavaScript and Python facilitates quick testing and integration.
Users can customize the voice output by setting the TTS_VOICE environment variable, which allows selecting different available voices during speech generation. A complete list of voices is accessible on the official Kokoro project page.
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Kokoro, a new text-to-speech model with 82 million parameters, generates realistic speech from text on local machines using CPU. It supports multiple languages and 50 distinct voices, prioritizing privacy without online processing.