Machine Learning Engineer

Hume AI launches TADA, a fast open-source voice system that eliminates hallucinations. 10/03/2026 Hume AI releases TADA under an open-source license, a text-to-speech system that synchronizes text and audio to eliminate content errors and achieve five times the speed of current systems. Hume AI has released TADA (Text-Acoustic Dual Alignment), a voice generation system that addresses one of the most common problems in current large language model-based systems: the mismatch between how text and audio are represented. Conventional text-to-speech systems generate between 12.5 and 75 acoustic signal frames per second of audio, compared to just 2 or 3 text tokens. This gap forces models to handle very long sequences, which slows down processing and increases the risk of the system skipping words or inserting non-existent content - a flaw known as hallucination. TADA resolves this imbalance with a tokenization scheme that assigns exactly one continuous acoustic vector per text token. As a result, text and audio are processed in parallel and at the same rate, without compressing the audio or adding extra intermediate layers. In terms of speed, the system achieves a real-time factor of 0.09 - more than five times faster than comparable LLM-based text-to-speech systems. In tests with over 1,000 samples from the LibriTTSR dataset, the model produced zero hallucinations. In human evaluations on expressive, long-form speech, it scored 4.18 out of 5 for speaker similarity and 3.78 out of 5 for naturalness, ranking second overall. The model's compact size allows it to run on mobile devices without relying on cloud services. In terms of context management, it can handle up to 700 seconds of audio within a 2,048-token context window, compared to around 70 seconds for conventional systems under the same conditions. Hume AI is releasing two versions: a one-billion-parameter model for English and a three-billion-parameter multilingual model supporting eight languages. Both are available on Hugging Face under an open-source license. The researchers themselves acknowledge limitations still to be resolved, including potential speaker drift during very long generations and reduced text quality when generating text and speech simultaneously. Key points. * TADA is a new open-source text-to-speech system developed by Hume AI. * It synchronizes text and audio in a 1:1 ratio, eliminating the mismatch in current systems. * It is more than five times faster than comparable LLM-based TTS systems. * In tests with over 1,000 samples, it produced zero hallucinations. * It is lightweight enough to run on mobile devices without a cloud connection. * It can handle up to 700 seconds of audio versus 70 seconds in conventional systems. * Available in two versions: 1B parameters in English and 3B multilingual across eight languages. * Still has limitations in very long generations and when combining text and speech simultaneously. Videos. Links. Related AI. Interfaz de voz con inteligencia emocional. Research laboratory and technology company specialized in AI models with emotional intelligence. Its main model integrates voice and language processing, with adjustable voice synthesis in timbre,... Lastest news. * Copilot Cowork, the AI agent that manages and executes tasks within Microsoft 365 09/03/2026 Microsoft has announced Copilot Cowork, a new Microsoft 365 Copilot feature that goes beyond chat to execute complete tasks autonomously,... * OpenAI launches GPT-5.4, its most powerful AI model for professional work 05/03/2026 OpenAI has released GPT-5.4, a model that combines advanced reasoning, coding and computer control into a single tool designed for complex... * Anthropic refuses to back down against the Pentagon while OpenAI signs an alternative deal 02/03/2026 Anthropic rejects removing two restrictions on its AI's use by the military, in a conflict that led Trump to order its removal from all federal... * Perplexity Computer, the system that coordinates multiple AI models at once 25/02/2026 Perplexity introduces Computer, an AI agent capable of creating and executing complete workflows for hours or months, autonomously coordinating...

Hume AI, a voice AI research company, has appointed Andrew Ettinger as chief executive officer. Ettinger brings 15 years of experience in data and AI infrastructure, having built teams responsible for over $2 billion in annual recurring revenue at Pivotal, Astronomer and Appen, where he most recently served as chief revenue officer. The company has also agreed to non-exclusively licence certain technologies to Google, with co-founder Alan Cowen joining Google. Hume has been expanding its research platform, including voice evaluation tools, data pipelines and reinforcement-learning infrastructure for training voice AI models. Ettinger said Hume is on track to generate more than $100 million in revenue this year from research partnerships with frontier AI labs and enterprises. The company plans to release the next generation of its text-to-speech and speech-to-speech models shortly.