Vokan
Maintainer: ShoukanLabs
54
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
Vokan is an advanced finetuned StyleTTS2 model designed for authentic and expressive zero-shot performance. It was created by ShoukanLabs, a prolific AI model developer. Vokan leverages a diverse dataset and extensive training to generate high-quality synthesized speech. It was trained on a combination of the AniSpeech, VCTK, and LibriTTS-R datasets, ensuring authenticity and naturalness across various accents and contexts.
Model inputs and outputs
Inputs
- Text to be converted to speech
Outputs
- Synthesized speech audio
Capabilities
Vokan captures a wide range of vocal characteristics, contributing to its remarkable performance in generating expressive and natural-sounding speech. With over 6+ days worth of audio data and 672 diverse and expressive speakers, the model has learned to handle a broad array of accents and contexts.
What can I use it for?
Vokan can be used in a variety of applications that require high-quality text-to-speech (TTS) capabilities, such as audiobook production, voice assistants, and multimedia content creation. Its expressive and natural-sounding synthesis makes it a compelling choice for projects that require a human-like voice.
Things to try
Experiment with Vokan by providing it with different types of text, ranging from formal to informal, to see how it handles various styles and tones. Additionally, you can explore its potential by integrating it into your own projects and observing its performance in real-world scenarios.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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Vokan is an advanced finetuned StyleTTS2 model designed for authentic and expressive zero-shot performance. It was created by ShoukanLabs, a prolific AI model developer. Vokan leverages a diverse dataset and extensive training to generate high-quality synthesized speech. It was trained on a combination of the AniSpeech, VCTK, and LibriTTS-R datasets, ensuring authenticity and naturalness across various accents and contexts. Model inputs and outputs Inputs Text to be converted to speech Outputs Synthesized speech audio Capabilities Vokan captures a wide range of vocal characteristics, contributing to its remarkable performance in generating expressive and natural-sounding speech. With over 6+ days worth of audio data and 672 diverse and expressive speakers, the model has learned to handle a broad array of accents and contexts. What can I use it for? Vokan can be used in a variety of applications that require high-quality text-to-speech (TTS) capabilities, such as audiobook production, voice assistants, and multimedia content creation. Its expressive and natural-sounding synthesis makes it a compelling choice for projects that require a human-like voice. Things to try Experiment with Vokan by providing it with different types of text, ranging from formal to informal, to see how it handles various styles and tones. Additionally, you can explore its potential by integrating it into your own projects and observing its performance in real-world scenarios.
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