Real-Time Speech-to-Speech Interpretation via Inversion
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Solution Overview
Problem
Conventional language interpretation methods, particularly in customer care environments, are inefficient and cumbersome due to consecutive dialogue, which wastes computing resources and disrupts communication between users speaking different languages.
Innovation Solution
A remote multi-channel language interpretation system that performs simultaneous interpretation using a processor to translate spoken language queries and responses, generating audio and image data corresponding to the target language, allowing users to communicate naturally without waiting for interpretations, by utilizing a language interpretation platform that includes a processor, memory, and databases for imagery and gesture manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If consecutive language interpretation is used, then language translation is achieved, but communication efficiency deteriorates and computing resources are wasted
Solution Approach 1:
Instead of translating speech to text then text to speech (consecutive interpretation), the system inverts the approach by directly translating speech to speech in real-time using audio data processing and synthesis, eliminating the intermediate text conversion step and enabling simultaneous interpretation
Solution Approach 2:
The system maintains continuous communication flow by performing real-time speech-to-speech translation without interrupting the dialogue, allowing both parties to speak and be understood simultaneously rather than taking turns in consecutive interpretation
2Reliability
If consecutive dialogue interpretation is implemented, then language barriers are overcome, but time consumption increases
Solution Approach 1:
The system performs preliminary action by pre-processing audio data and preparing translation models in advance, enabling real-time speech translation without requiring waiting time during the actual conversation, thus eliminating the pause-and-translate pattern of consecutive interpretation
3Adaptability or versatility
If extensive language pair libraries are stored, then comprehensive language support is provided, but computing resource requirements increase
Solution Approach 1:
The system achieves universality by using a single multi-lingual speech translation model that can handle multiple language pairs simultaneously, eliminating the need to store and process separate extensive libraries for each language pair, thus reducing computing resource requirements while maintaining comprehensive language support
Data Source
AI summary
A configuration is implemented to receive, with a processor from a customer care platform, a request for spoken language interpretation of a user query from a first spoken language to a second spoken language. The first spoken language is spoken by a user situated at a display-based device that is remotely situated from the customer care platform. The user query is sent from the display-based device by the user to the customer care platform. The configuration performs, at a language interpretation platform, a first spoken language interpretation of the user query from the first spoken language to the second spoken language. Further, the configuration transmits, from the language interpretation platform to the customer care platform, the first spoken language interpretation so that a customer care representative speaking the second spoken language understands the first spoken language being spoken by the user.