All electronics ship with US style plugs.You may need a voltage converter or a plug adapter.
Special Features
【Speech recognition broadcast function】 Based on CSK4002, it is an AlSoC with high performance, strong computing power and low power consumption for the development and design of the AloT field. The comprehensive wake-up rate is 95%, and the comprehensive recognition rate is 93%. The user wakes up the device and speaks the command word, and the device responds after recognition; the command word supports a variety of product scenarios and supports 85 voice command recognition.
【360° Effective Pickup】 The front end of the voice module adopts a dual-microphone array algorithm, which can realize user voice pickup within 5m of the 360° far field. Equipped with automatic vocal gain, it can be adaptively adjusted according to the user's volume to ensure that the overall hearing of the audio after noise reduction is consistent.
【Offline Voice Interaction Processing】 The voice interaction module is equipped with an offline voice chip, which is free of programming and easy to use. The human-computer interaction function can be realized by obtaining the recognition result through the serial port; in the offline state, the relevant processing is performed according to the content of the command word, or the content information is transmitted to the host computer for further processing. related processing.
【Support multiple development boards and ROS robots】 Support Raspberry Pi/JETSON NANO/Arduino/STM32 various serial communication development motherboards, provide development materials, case materials take Python code as an example, if you need C language instructions, you can transplant them yourself according to the data manual. A variety of Yahboom robots have been equipped with this intelligent voice interaction module, which can be viewed in this store.
【Equipped with detailed learning materials】 Yahboom has prepared comprehensive learning materials for installing voice interaction modules for various robots, from learning STM,jetson nano, and Raspberry Pi code programming. Provide online technical support guidance to teach you how to use voice recognition easily.