苹果找到加速AI语音生成且不牺牲自然音质的方法

Apple researchers have introduced a new method that significantly speeds up artificial speech generation while preserving clarity, tone, and speaker identity. The technique, called Principled Coarse-Grained Acceptance, rethinks how speech models decide whether a predicted sound unit is “close enough” to be used, replacing rigid token matching with acoustically informed group verification. The work, published by Apple’s machine learning research team, addresses one of the largest bottlenecks in text-to-speech and voice AI systems: the time required to generate natural-sounding audio, especially in large language models trained for speech. …