AI Text-to-Speech
Turning plain text into convincing speech is no longer just about sounding human: voice cloning, emotion and dialect control, and paralinguistic cues are where text-to-speech models now compete, with checkable benchmarks and open implementations.
Speech synthesis has visibly accelerated in 2026. Qwen3-TTS and GLM-TTS made three-second voice cloning a standard open-source feature, while Ant Group's inclusionAI has just released Ming-3.0-tts, which controls paralinguistic signals such as laughter and sighs through inline text tags and switches between Sichuanese and Cantonese. What separates the models now is pronunciation robustness, language coverage and inference cost.
