Vinci smart headphones pro, noise canceling koptelefoon, AI

Vinci - first smart headphones with artificial intelligence vinci allows you to voice control your music when manually choosing songs on your phone is inconvenient. No matter what you’re doing - walking, running, or commuting - you can tell vinci exactly what song or artist you want to listen to, say a specific genre or mood, or let vinci pick a song for you. Voice-controlled and hands-free, vinci connects you with music requests, information, directions, local venue recommendations, reminders, and so much more. When you need vinci’s help, simply say “hey vinci” or use one finger to press and hold down on the touch screen, and vinci will instantly recognize your voice command to assist you right away. Vinci is a standalone device, so there’s no need to connect to or search your mobile phone. Enjoy total freedom when jogging, traveling, or commuting to work. Vinci also uses dual-mic noise reduction technology to filter out ambient noise from the desired sound, which improves voice recognition in any noisy environment. Vinci senses and learns from your body vitals, activities, listening habits and preferences to make intelligent, real-time recommendations. You don’t have to choose songs yourself. Vinci learns from your body and activity data to pick songs that match your pace, heart rate, and listening preferences. Vinci can anticipate what you want — from a song choice to an alternative travel route or commute type — before you even realize you need it. Vinci also includes an accelerometer, gyrometer, proximity sensor, optical heart rate sensor, gps, and compass to deliver impressive personalization. With hundreds of thousands of soundtracks from massive music resources, vinci learns the abstractive representations of songs, powered by deep learning techniques. Sounds will be extracted as signals, and then fed into neural networks after pre-processing. With statistics learned, preferences are learned accordingly. In this way, vinci becomes smarter when deciding what to or not to recommend next time, based on deep learned user-song matching.