Neural TTS models (Tacotron, FastSpeech, VITS and their successors) generate speech as a continuous waveform conditioned on text, speaker identity, and style tokens. The result has natural prosody, breath, and emotion — the gap to a human read is now sub-second on most listening tests.
Common attributes you can control: pitch, speed, language, accent, age, and emotion (calm, excited, sad, professional). On vlogme.ai every neural voice is paired with a talking-avatar pipeline, so the same emotion drives both the voice and the face.