Google llc (20240220741). VOICE-BASED INTERFACE FOR TRANSLATING UTTERANCES BETWEEN USERS simplified abstract
VOICE-BASED INTERFACE FOR TRANSLATING UTTERANCES BETWEEN USERS
Organization Name
Inventor(s)
Michael Greenberg of Mountain View CA (US)
Bertrand Damiba of Mountain View CA (US)
Olivia Grace of Mountain View CA (US)
Fei Wu of Mountain View CA (US)
Shane Brennan of Mountain View CA (US)
VOICE-BASED INTERFACE FOR TRANSLATING UTTERANCES BETWEEN USERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240220741 titled 'VOICE-BASED INTERFACE FOR TRANSLATING UTTERANCES BETWEEN USERS
Simplified Explanation: The patent application describes a system that creates a voice-based interface to improve translation accuracy, reducing the need for redundant translation requests and saving computational resources.
Key Features and Innovation:
- Voice-based interface for accurate translations
- Reduction in redundant translation requests
- Bandwidth and computational resource savings
Potential Applications: The technology can be applied in various industries such as language translation services, communication devices, and network systems.
Problems Solved: The system addresses the issue of inaccurate translations and the wastage of bandwidth and computational resources due to redundant translation requests.
Benefits:
- Improved translation accuracy
- Efficient use of bandwidth and computational resources
- Enhanced communication between devices in a network
Commercial Applications: The technology can be utilized in translation software, mobile applications, and smart devices to streamline communication processes and optimize resource usage in various industries.
Questions about Voice-Based Translation Technology: 1. How does the voice-based interface improve translation accuracy? 2. What are the potential cost-saving benefits of reducing redundant translation requests?
Frequently Updated Research: Stay informed about advancements in voice recognition technology and translation algorithms to enhance the efficiency and accuracy of voice-based translation systems.
Original Abstract Submitted
the systems and methods described herein can generate a voice-based interface to increase the accuracy of translations. the voice-based interface can result in fewer input audio signals being transmitted between devices of a network. reducing the number of redundant translation requests that are sent between the devices of a network can save bandwidth and other computational resources by processing fewer input audio signals.