Yahboom Voice Recognition Playback Module Sound Sensor

High-Performance Speech Recognition in AlSoC

Based on the CSK4002, this AlSoC is designed for advanced development and design in the AloT field. With high performance, strong computing power, and low power consumption, it excels in wake-up and recognition rates. The comprehensive wake-up rate is 95%, and the comprehensive recognition rate reaches 93%. Simply wake up your device by speaking the command word, and the device will respond after recognition. The command word supports various product scenarios and boasts 85 voice command recognitions.

360° Effective Voice Pickup

The voice module is equipped with a dual-microphone array algorithm, allowing for effective pickup of user voices within a 360° far field up to 5 meters. It features automatic vocal gain, which adjusts adaptively according to the user's volume, ensuring consistent audio quality even after noise reduction.

Offline Voice Interaction Processing

The module includes an offline voice chip that facilitates quick and user-friendly human-computer interaction. Recognize voice commands through a serial port, and perform relevant processing based on the command content. Alternatively, transmit content information to the host computer for further processing.

Support for Multiple Development Boards and ROS Robots

This AlSoC is compatible with various development boards and ROS robots, including Raspberry Pi, JETSON NANO, Arduino, and STM32. Detailed development materials are provided, with Python code examples. You can easily transplant C language instructions based on the data manual. A variety of Yahboom robots are equipped with this intelligent voice interaction module, all available in our store.

Comprehensive Learning Materials

Yahboom has prepared extensive learning materials for installing voice interaction modules in different robots, covering code programming for STM, JETSON NANO, and Raspberry Pi. Additionally, we offer online technical support to help you easily use voice recognition.

Keyword focus: CSK4002, AloT field, high performance, strong computing power, low power consumption, comprehensive wake-up rate, comprehensive recognition rate, dual-microphone array algorithm, automatic vocal gain, offline voice interaction, compatibility, development boards, ROS robots, learning materials, voice interaction module.