Timekettle has launched the W4 AI Interpreter Earbuds, real-time translation earbuds priced at $349 that use bone conduction technology to improve voice recognition accuracy in noisy environments. The earbuds represent a more affordable and casual-friendly alternative to the company’s $449 over-ear W4 Pro, featuring a modern wireless earbud design optimized for everyday translation needs across 42 languages and 95 accents.
Key features: The W4 AI earbuds combine traditional microphones with bone conduction sensors to achieve up to 98 percent translation accuracy, even in loud environments.
- The bone conduction technology detects voice vibrations through head bones, allowing for more accurate speech recognition and enabling quieter conversations for discretion in public settings.
- Timekettle’s Babel OS 2.0 software, powered by AI LLM models, instantly converts speech between 42 languages and 95 accents and uses contextual understanding to differentiate between similar-sounding words.
- Users can create custom lexicons to help the system understand specialized terminology or slang, including internet memes like “skibidi toilets.”
Design and battery life: The earbuds feature a larger stem than typical wireless earbuds to accommodate the additional translation electronics, but maintain a more modern appearance than the company’s previous over-ear model.
- Battery life reaches up to four hours of continuous translation, extending to 10 hours with the included charging case that splits in two.
- When used as standard wireless earbuds for music, battery life improves to eight hours standalone or 18 hours with the charging case.
- The earbuds are available in navy blue and sandy gold color options.
Market positioning: The W4 AI earbuds target casual users seeking real-time translation capabilities without the bulk of professional-grade devices.
- At $349, they’re positioned $100 below the W4 Pro model, which featured a clunkier over-ear design reminiscent of older Bluetooth headsets.
- The company describes the new model as “optimized for casual use,” suggesting a shift toward mainstream consumer adoption of translation technology.
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