Hume AI TADA is an open-source LLM-based TTS model released in March 2026 by Hume AI, an AI research lab specializing in emotional intelligence voice AI. In a nutshell, it's an "LLM-TTS that accurately reads only the text provided, without arbitrarily omitting words or hallucinating." The persistent problem with existing LLM-based TTS models was **content hallucination** – the phenomenon where the model omits words, repeats pronunciations, or creates sounds not present in the original text. TADA addresses this issue at the architectural level with a Text-Acoustic Dual Alignment structure that aligns text tokens and audio tokens in a 1:1 ratio, achieving zero instances of hallucination in over 1,000 LibriTTSR tests. Simultaneously, with an RTF of 0.09, it is five times faster than comparable LLM-TTS models, making it a rare model that achieves both accuracy and speed. From a practical perspective, (1) it is reliable for reading long texts where word omissions are absolutely unacceptable, such as audiobooks and narrative content; (2) it processes approximately 11 minutes of content at once with 2,048 tokens, generating long conversations with 10 times the efficiency of existing systems (~70 seconds); and (3) as a multilingual model supporting 10 languages (including English, Chinese, Japanese, and Arabic), it can be used to operate a global content pipeline from a single model.