This content originally appeared on DEV Community and was authored by aimodels-fyi
This is a simplified guide to an AI model called Cosyvoice maintained by Jichengdu. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
CosyVoice is a scalable multilingual text-to-speech system with advanced voice cloning capabilities. Built on large language model architecture, it integrates streaming synthesis, cross-lingual generation, and bidirectional streaming support.
Related models in this space include OpenVoice for voice cloning and Parler TTS for general text-to-speech synthesis. Created by jichengdu, this model focuses on low-latency performance and high-quality output.
Model Inputs and Outputs
The system takes text and reference audio as input to generate natural-sounding speech in multiple languages and styles.
Inputs
- Source Audio: Reference voice recording for cloning
- Source Transcript: Text content of the reference audio
- TTS Text: Target text to synthesize
- Task Type: Zero-shot clone, cross-lingual clone, or instructed generation
- Instruction: Optional guidance for voice generation style
Outputs
- Audio File: Generated speech in WAV format at 16kHz sample rate
Capabilities
The system enables zero-shot voice clon...
Click here to read the full guide to Cosyvoice
This content originally appeared on DEV Community and was authored by aimodels-fyi
aimodels-fyi | Sciencx (2025-05-26T01:48:18+00:00) A beginner’s guide to the Cosyvoice model by Jichengdu on Replicate. Retrieved from https://www.scien.cx/2025/05/26/a-beginners-guide-to-the-cosyvoice-model-by-jichengdu-on-replicate/
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