Smartphone Call Translation System for Cross-Language Communication
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Solution Overview
Problem
Current smartphone translation software lacks real-time voice and text translation capabilities for calls, particularly for hearing-impaired or deaf individuals, and cannot facilitate communication between users with different languages or terminal types, including landline phones.
Innovation Solution
A smartphone-based translation system with a processor, input, and output devices that performs real-time voice recognition, translation, and text-to-speech functions, enabling call translation between different languages and assisting communication for hearing-impaired or deaf individuals by displaying and inputting text messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing translation software is used for face-to-face voice conversation, then translation function is provided, but real-time call translation to any call terminal including landline telephones cannot be implemented
Solution Approach 1:
The translation device is designed to support multiple communication modes including face-to-face voice conversation, telephone calls, and landline connections. The system integrates voice recognition, text translation, and text-to-speech conversion to provide universal translation functionality across different communication terminals and scenarios.
2Productivity
If voice recognition and text translation are performed in real-time during calls, then communication between different languages is enabled, but system complexity increases
Solution Approach 1:
The translation system is divided into distinct functional modules: voice recognition module for converting spoken language to text, text translation module for translating between languages, and text-to-speech module for converting translated text back to spoken language. This segmentation allows each module to be optimized independently while working together to achieve real-time translation.
Solution Approach 2:
The system uses text as an intermediary representation between voice input and voice output. The voice recognition module converts speech to text, the translation module processes the text, and the text-to-speech module converts the translated text back to speech. This intermediary approach enables efficient real-time translation while managing system complexity.
3Ease of operation
If text display is provided for hearing-impaired persons during calls, then communication assistance is improved, but ease of operation may be reduced
Solution Approach 1:
The system automatically performs voice recognition, text translation, and text-to-speech conversion without requiring manual intervention from the user. For hearing-impaired persons, the system automatically displays translated text during calls and can automatically convert their text input to speech for transmission, reducing the operational burden while improving accessibility.
Data Source
AI summary
A smartphone-based telephone translation system includes a translation machine that starts a call translation process when the call translation is set to ON. The system detects an incoming call or dials, translates a voice signal to obtain a translation text for the ON call state. The voice signal of the caller is received and recognized. A voice signal is translated to obtain a translation text for the ON call state. The localized voice signal is recognized, using a TTS machine to obtain a reply voice signal and sent to the caller. The system performs voice recognition and text translation on the call voice, translates the language into localized language, and performs the function of calling between different languages in real time, so as to realize a telephone communication between two persons speaking different languages. The system supports communication with a hearing-impaired person or deaf-mute person.