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Cover image for A beginner's guide to the Zonos model by Jaaari on Replicate
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Posted on • Originally published at aimodels.fyi

A beginner's guide to the Zonos model by Jaaari on Replicate

This is a simplified guide to an AI model called Zonos maintained by Jaaari. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Zonos is a multilingual text-to-speech (TTS) model trained on over 200,000 hours of speech data. Created by jaaari, it delivers speech synthesis with emotional control across English, Japanese, Chinese, French, and German languages.

Model overview

This model represents a significant advancement in open-source TTS technology, offering capabilities similar to top commercial providers. Like its counterpart Kokoro-82m, it focuses on natural speech generation but extends functionality with voice cloning and emotion control. The model comes in two variants: transformer and hybrid architectures.

Model inputs and outputs

The model processes text input alongside optional voice reference audio to generate natural speech. It provides control parameters for customizing the output voice characteristics and emotional tone.

Inputs

  • Text: The content to be converted to speech
  • Audio: Optional reference audio file for voice cloning
  • Language: Choice of supported languages (en-us, en-gb, ja, cmn, yue, fr-fr, de)
  • Model Type: Selection between transformer or hybrid architecture
  • Speaking Rate: Control of speech speed (5-30 phonemes per second)
  • Emotion: Optional 8-dimensional emotion vector for controlling voice characteristics

Outputs

  • Audio File: Generated speech in WAV format at 44kHz sample rate

Capabilities

The system excels at voice cloning from...

Click here to read the full guide to Zonos

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