Home AI News Silent-Speech Recognition: Cornell’s Wearable Interface Transforms Lip Movements into Commands

Silent-Speech Recognition: Cornell’s Wearable Interface Transforms Lip Movements into Commands

Silent-Speech Recognition: Cornell’s Wearable Interface Transforms Lip Movements into Commands

The Revolutionary EchoSpeech: Silent Speech Recognition Powered by Artificial Intelligence

Cornell University researchers have made a groundbreaking development in the field of communication technology. They have created a wearable interface called EchoSpeech that utilizes acoustic-sensing and artificial intelligence to recognize up to 31 unvocalized commands based on lip and mouth movements.

Continuous Speech Recognition in a User-Friendly Package

EchoSpeech, a low-power device, only requires a short training session to recognize commands. This wearable interface can be easily operated on a smartphone, making it accessible to everyone.

In the study titled “EchoSpeech: Continuous Silent Speech Recognition on Minimally-obtrusive Eyewear Powered by Acoustic Sensing,” Ruidong Zhang, a doctoral student of information science at Cornell University, discusses the immense potential of this technology. For individuals who are unable to produce vocal sounds, this silent speech recognition technology could serve as an excellent tool for voice synthesis, effectively restoring their ability to speak.

Revolutionizing Communication in Various Settings

EchoSpeech is not limited to aiding those with speech impairments. It has various practical applications, such as allowing users to communicate seamlessly in settings where speaking out loud is inconvenient or inappropriate. Imagine having a conversation in a noisy restaurant or a silent library by simply using your smartphone. Additionally, this interface can be paired with design software, enabling users to draw and create with ease, eliminating the need for traditional input devices like keyboards and mice.

Sonar-inspired Technology on Your Face

Equipped with microphones and speakers smaller than pencil erasers, EchoSpeech glasses act as a wearable sonar system powered by artificial intelligence. By sending and receiving soundwaves across the face and capturing mouth movements, the device collects valuable data. This information is then analyzed in real-time using advanced deep learning algorithms, providing an impressive accuracy rate of approximately 95%.

Cheng Zhang, assistant professor of information science and director of Cornell’s Smart Computer Interfaces for Future Interactions (SciFi) Lab, expresses his excitement: “We’re very excited about this system because it really pushes the field forward on performance and privacy. It’s small, low-power, and privacy-sensitive, which are all important features for deploying new wearable technologies in the real world.”

Enhanced Privacy and Performance

Unlike existing silent-speech recognition technologies that rely on cameras and predefined commands, EchoSpeech’s acoustic-sensing approach removes the need for wearable video cameras. This not only resolves practical limitations but also alleviates major privacy concerns associated with wearable cameras. By processing audio data locally on the smartphone instead of using cloud-based processing, privacy is enhanced, ensuring that sensitive information remains solely within the user’s control.

François Guimbretière, a professor in information science, highlights another advantage of acoustic-sensing technology like EchoSpeech. As audio data is significantly smaller in size compared to image or video data, it requires less bandwidth for processing and can be relayed to a smartphone in real-time via Bluetooth.

With the development of EchoSpeech, Cornell University researchers have paved the way for a game-changing innovation that revolutionizes the field of communication technology. This wearable interface, powered by artificial intelligence, offers a user-friendly experience while providing enhanced privacy and performance.

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