Gizwits AI offline speech recognition module makes home appliances more intelligent and convenient

The application of voice control technology in the field of smart home appliances is expanding with the continuous development of emerging technologies such as the Internet of Things, big data and artificial intelligence. The smart voice module provides voice interaction functions for home appliances, such as adjusting temperature, light brightness and other settings through voice commands, or using the built-in voice assistant to check the weather, play music, etc. Especially for the elderly and people with mobility impairments, using smart home appliances equipped with voice control functions not only provides a more convenient way to operate home devices, but also improves the comfort and convenience of family life.

In the new digital era, does your life have a smart voice assistant?

Now, household appliances can understand you! Gizwits AI offline speech recognition module GV317-B is officially launched! This module has the characteristics of ultra-low power consumption, high recognition rate, and rapid response. It can provide higher recognition accuracy, faster response speed, and higher intelligent performance for home appliances that require voice control. It is not affected by network restrictions and can be quickly accessed and used without the need for an Internet connection, which can conform to people's intelligent interaction habits.

Gizwits GV317-B is a cloud module that supports BLE offline speech recognition. It supports multiple languages, including Chinese, English and other small language recognition. The recognition time is less than 100ms, and the human voice recognition rate is as high as 95% or more; It supports customized wake words and semantic words, which can be flexibly adjusted according to customer requirements; it provides free use of public version of mini programs/APP software, greatly shortening the product development cycle. With the help of Gizwits' offline voice module, home devices have become simpler and smarter, bringing more convenience and comfort to people's lives.

Flexible selection of multiple versions to meet diverse needs

Gizhiyun offline voice module CPU is equipped with a high-performance 32-bit RISC core, clocked at 240MHz, and integrated with 1MB Flash. It provides a variety of version options, including a version that supports infrared code output, a serial port output version, and a Bluetooth voice SOC Versions, each version has different features and advantages, providing more flexible choices for the voice control needs of different products.

◆ Supports infrared code output version: no development process required, can replace the remote control of small home appliances, and quickly implement small programs and voice intelligent control of the device.

◆ Serial port output version: simple serial port command protocol, MCU method for quick docking and integration, semantic words and serial port commands, and can support customization.

◆ Bluetooth voice SOC version: supports more functions, Bluetooth voice two-in-one control, and supports customized development.

High recognition rate, fast response, significant noise reduction effect

In the application of AI voice devices, users have extremely high requirements for intelligent voice. For a device that can listen and speak, it is often treated as a robot or a superman. For example, in a noisy environment or when multiple people are talking at the same time, users hope that the voice device can accurately listen to instructions and give feedback, which requires good noise reduction effects.

In response to this demand, the Gizhiyun module AI offline speech recognition module has a high recognition rate and fast response speech recognition. It also provides a rich voice command library, which can be recognized at a distance of 5 meters, and the recognition time is less than 100ms. , has significant noise reduction effect, supports background noise suppression, and effectively eliminates external interference.

No need to connect to the Internet, protect privacy, support personalized customization

We use the latest TDNN neural network algorithm to design the module, which users can use quickly without being connected to the Internet, while protecting the user's privacy and security. In addition, the module also supports personalized customization and can support 60 local command statements to meet the personalized needs of the scene. Through such a design, the intelligence of the device is improved and the user experience is also enhanced.

Big and small household appliances are intelligent and have a wide range of applications

Using Gizwits AI offline speech recognition module GV317-B, developers can easily introduce speech recognition technology into self-developed products without spending a lot of time and energy on development and testing, helping developers speed up product development. speed, shortening the product launch cycle, and can be applied to fan lights, heaters, tea bar machines, air conditioners, fans, clothes drying racks and other smart home appliances.

In recent years, the market for smart home appliances has become increasingly stronger and more prosperous. While smart home appliances bring convenience to people's lives, people's control habits have also gradually changed. As a low-cost, low-power, highly integrated AI offline speech recognition module, it can easily realize the voice control function of smart home appliances, improve user experience, and help enhance product competitiveness.

If you have needs to develop products with voice control functions or related projects, please contact us for customized support. Gizwits specializes in providing software and hardware integrated AI intelligent offline speech recognition solutions for traditional home appliance manufacturers with weak software and hardware R&D capabilities, including a combination package of AI intelligent offline speech recognition module public version mini program/APP application IoT cloud platform. Helps home appliance manufacturers avoid complex protocols and mobile application development processes and respond to product intelligence needs extremely quickly.

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