From Parameter Fitting to Intent Expression: TTS Enters the Performance Era

In computer vision, we've gone through leaps from "image classification" to "semantic segmentation" to "image generation"—each stage representing an order-of-magnitude improvement in how models understand scenes. Text-to-Speech (TTS) is now undergoing a similar paradigm shift: it's no longer just about reading text accurately, but learning to "perform," meaning controlling tone, emotion, rhythm, and even mimicking specific dialect accents via instructions. Alibaba's Qwen-Audio-3.0-TTS performance on authoritative benchmarks essentially transforms this "expressive intent" from implicit parameters into explicit modeling—a technical route worth dissecting.