IndexTTS2 achieves disentanglement between emotional expression and speaker identity, enabling independent control over timbre and emotion. The system incorporates GPT latent representations and designs a novel three-stage training paradigm to improve the stability of the generated speech. Additionally, a soft instruction mechanism based on text descriptions is used to guide the generation of speech with the desired emotional orientation. This allows for more natural and expressive speech synthesis.
IndexTTS is a highly advanced text-to-speech system that can accurately reconstruct the target timbre and perfectly reproduce the specified emotional tone. The system is designed to be highly efficient and can be used in a variety of applications, including video dubbing and voice cloning. The system is also highly customizable, allowing users to adjust the settings to enable features such as FP16 inference and DeepSpeed acceleration.
