CosyVoice is a speech synthesis framework that utilizes large language models to generate expressive, multilingual audio. The system functions as an audio generation engine capable of producing natural-sounding speech across multiple languages while preserving regional dialects and specific emotional tones.
The platform distinguishes itself through its zero-shot voice cloning capabilities, which allow for the creation of synthetic voice profiles from short audio samples without requiring additional model training. It provides fine-grained control over vocal attributes, enabling users to adjust prosody, pacing, volume, and breathing to achieve realistic output. Furthermore, the system supports phoneme-level alignment and latent space conditioning to modulate emotional personas and ensure precise pronunciation.
The architecture incorporates reinforcement learning to iteratively refine output quality and alignment with human-perceived speech standards. Users can also perform custom speaker model adaptation to improve voice similarity and consistency for specialized production requirements.
