Gravity: Offline Language Learning Voice Recognition Sensor for Arduino, Raspberry Pi, ESP32 - I2C, UART

Voice recognition, also known as speech recognition, is a computer technology that analyzes and converts spoken words or commands into editable text or executable actions. It enables individuals to interact with computers or devices through speech, eliminating the need for traditional input methods like keyboards or mice. Voice recognition technology has found applications in various areas, including voice assistants, smart homes, voice search, and voice-controlled notebooks.

The Gravity: Offline Voice Recognition Sensor is a device built around a dedicated offline voice recognition chip, enabling its use without an internet connection. It comes preloaded with 121 fixed command words and supports the addition of 17 custom command words. This versatility allows for the recognition of various sounds as commands, such as whistling, snapping, or even cat meows, making it ideal for interactive audio projects.

The module incorporates a dual microphone design, enhancing its resistance to noise and extending the recognition range. Even in noisy environments, it maintains a relatively high level of accuracy and reliability. Additionally, it includes a built-in speaker and an external speaker interface for providing real-time voice feedback on recognition results. The module supports both I2C and UART communication methods and is compatible with a range of controllers operating at 3.3V or 5V, such as micro:bit, Arduino (Arduino UNO, Arduino Leonardo, Arduino MEGA), Raspberry Pi, FireBeetle series, and more.

Designed for makers and electronics enthusiasts, this voice recognition module offers a dependable and flexible solution for voice interaction. It can be applied to various applications that benefit from voice control or interaction, including smart home appliances, toys, lamps, and robotics projects.

Differences between Offline and Online Voice Recognition

A crucial aspect of voice recognition is the voice database, which serves as a reference during the recognition process. Online voice databases are stored in the cloud and possess vast amounts of data, whereas offline voice databases are local and have limited storage capacity.