Qwen2 Audio Instruction Demo
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Qwen2 Audio Instruction Demo
Overview :
Qwen2 Audio Instruction Demo is an interactive demonstration website based on audio commands, leveraging the latest artificial intelligence technologies to allow users to interact with the web through voice instructions. This technology not only enhances user experience but also provides a more accessible means for individuals with disabilities. Background information about the product includes details about its development team and technical support, and it is priced as a free trial, primarily targeting users interested in AI interactions.
Target Users :
The target audience includes tech enthusiasts, individuals with disabilities, and developers and researchers interested in voice interaction technology. They can experience the latest advancements in artificial intelligence with this product and explore its potential applications in daily life.
Total Visits: 29.7M
Top Region: US(17.94%)
Website Views : 55.2K
Use Cases
Users use voice commands to open and close multimedia content on the web page.
Individuals with disabilities utilize voice control to browse the web and obtain information.
Developers learn how to integrate voice technology into their projects through this demo.
Features
Supports audio command recognition in multiple languages.
Users can control web elements using voice commands.
Integrates advanced voice recognition and natural language processing technologies.
Provides real-time voice feedback and interaction results.
Supports custom commands to meet the needs of different users.
User-friendly interface that is easy to operate, suitable for users of all ages.
How to Use
Visit the Qwen2 Audio Instruction Demo website.
Allow the browser to access your microphone for voice input.
Read the examples of instructions on the page to understand how to use voice commands.
Use the microphone to voice your commands and observe how web elements respond.
Try customizing the commands to explore more interactive possibilities.
Adjust the commands based on feedback to optimize the interaction experience.
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