VOICE-BASED INTERFACE FOR TRANSLATING UTTERANCES BETWEEN USERS

Organization Name

Google LLC

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 18608703 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 and reduce the number of redundant translation requests sent between network devices.

Voice-based interface for accurate translations
Reduction of redundant translation requests between network devices
Saving bandwidth and computational resources by processing fewer input audio signals

Potential Applications: 1. Language translation services 2. Communication devices 3. Smart home devices 4. Virtual assistants

Problems Solved: 1. Inaccurate translations 2. Wastage of bandwidth and computational resources 3. Redundant translation requests

Benefits: 1. Improved translation accuracy 2. Efficient use of resources 3. Cost savings for network operations

Commercial Applications: Voice-based translation services for businesses operating in multilingual environments.

Questions about Voice-based Translation Technology: 1. How does the voice-based interface improve translation accuracy? 2. What are the potential cost savings for businesses using this technology?

Frequently Updated Research: Stay updated on advancements in voice recognition technology and translation algorithms to enhance the efficiency of the system.

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.