Interpretation Terminals for Dialogue Translation via Networked Communication
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Solution Overview
Problem
Conventional portable automatic interpretation devices lack the ability to exchange information necessary for improved interpretation performance, such as language specification and noise management, leading to suboptimal speech recognition and translation in noisy environments.
Innovation Solution
The implementation of interpretation terminals with network interfaces for communication between devices, including speech recognition, translation, and noise removal capabilities, allows for language specification, noise management, and enhanced speech synthesis, enabling effective dialogue interpretation through wireless local area networks or mobile communication networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic interpretation is performed on a portable device, then user convenience is enhanced by enabling interpretation at any time and place, but the device cannot exchange information with the other party's device, leading to loss of useful information for improving interpretation performance
Solution Approach 1:
The patent combines multiple functions (speech recognition, machine translation, speech synthesis, and information exchange) into an integrated portable interpretation device. The device merges local processing capabilities with network communication capabilities, allowing it to both perform interpretation independently and exchange information with external devices to enhance performance.
Solution Approach 2:
The portable interpretation device is designed with multi-functionality, serving as both a standalone interpretation tool and a networked communication node. It can operate independently for basic interpretation while also functioning as an information exchange platform to share language specifications, noise environments, and interpretation results with other devices.
2Adaptability or versatility
If speech recognition is performed in noisy environments, then interpretation can be conducted in various locations, but speech recognition performance significantly deteriorates due to noise
Solution Approach 1:
The device implements feedback mechanisms where noise information from the environment is continuously monitored and fed back to the speech recognition system. This feedback enables dynamic adjustment of recognition parameters and algorithms to compensate for noisy conditions, maintaining accuracy while operating in diverse locations.
Solution Approach 2:
The speech recognition system dynamically changes parameters based on noise levels detected in the environment. When noise is detected, the system adjusts recognition thresholds, filtering parameters, and algorithm selection to optimize performance for the current acoustic conditions, enabling reliable operation across varied locations.
3Adaptability or versatility
If interpretation is performed for all areas without pre-specification, then the device is highly versatile, but the other party must modify its information one by one to suit the user's information, increasing complexity
Solution Approach 1:
The device performs preliminary actions by pre-specifying interpretation areas and language preferences before actual interpretation begins. This preliminary configuration is communicated to the other party's device in advance, allowing both devices to align their settings beforehand and avoid complex real-time modifications during interpretation.
Solution Approach 2:
The system uses an intermediary communication protocol that automatically negotiates and synchronizes interpretation parameters between devices. This intermediary mechanism handles the complexity of information alignment, translating and coordinating settings between different devices without requiring manual one-by-one modification by users.
4Measurement precision
If synthesized speech pitch is adjusted for different noise conditions, then interpretation quality improves, but manual manipulation is required, reducing ease of operation
Solution Approach 1:
The system implements self-service by automatically detecting noise conditions and adjusting synthesized speech pitch without user intervention. The device monitors environmental noise levels and autonomously modifies speech synthesis parameters to optimize clarity and quality, eliminating the need for manual pitch adjustment while maintaining high interpretation quality.
Data Source
AI summary
A method for interpreting a dialogue between two terminals includes establishing a communication channel between interpretation terminals of two parties in response to an interpretation request; specifying a language of an initiating party and a language of the other party in each of the interpretation terminals of the two parties by exchanging information about the language of the initiating party used in the interpretation terminal of the initiating party and the language of the other party used in the interpretation terminal of the other party via the communication channel; recognizing speech uttered from the interpretation terminal of the initiating party; translating the speech recognized by the interpretation terminal of the initiating party into the language of the other party; and transmitting a sentence translated into the language of the other party to the interpretation terminal of the other party.