Real-Time Translation With Adjustable Utterance Gaps
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Solution Overview
Problem
Machine translation systems for conversations between individuals speaking different languages are inefficient due to the need for each speaker to finish their turn before the translation is outputted, leading to longer conversations and a mechanical feel.
Innovation Solution
A system that translates spoken utterances in real-time, allowing the listener to hear the translated version simultaneously while the speaker is still speaking, using active acoustic filters to occlude the original language and provide the translated language directly to the listener, thereby reducing conversation duration and improving naturalness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If machine translation software is used to translate each sentence sequentially, then translation accuracy is improved, but conversation duration increases and naturalness deteriorates
Solution Approach 1:
The system performs preliminary translation of utterances while they are being spoken, rather than waiting for the speaker to finish. The translation process begins as soon as enough contextual information is available, allowing the translated output to be prepared in advance and delivered without delay, thus maintaining both accuracy and conversation flow
Solution Approach 2:
The translation process operates continuously during the speaker's utterance rather than in discrete sequential steps. The system maintains an ongoing translation stream that processes speech in real-time, ensuring that translation activity never stops and that translated output is continuously available to the listener, reducing waiting time while preserving accuracy
2Measurement precision
If the listener waits for the speaker to complete each sentence before translation, then translation quality is improved, but conversation naturalness deteriorates
Solution Approach 1:
The system dynamically adjusts the translation process based on the flow of conversation and available contextual information. Rather than rigidly waiting for sentence completion, the translation engine adapts its processing timing to match the natural rhythm of speech, allowing translation to begin mid-utterance when sufficient context is detected, thus maintaining quality while improving naturalness
Solution Approach 2:
The system introduces an intermediary translation layer that operates independently from the speaker-listener turn-taking structure. This intermediary process translates speech without being constrained by traditional conversational pauses, acting as a mediator that decouples translation quality requirements from the natural flow of conversation, allowing both to coexist
3Productivity
If simultaneous translation is provided during speaker's utterance, then conversation efficiency is improved, but listener confusion may increase
Solution Approach 1:
The translation output is segmented into discrete portions corresponding to different segments of the speaker's utterance. Rather than presenting a continuous stream that may confuse the listener, the system divides the translated content into manageable segments that align with the speaker's phrasing and pauses, making it easier for the listener to process and understand while maintaining conversation efficiency
Solution Approach 2:
The system incorporates feedback mechanisms to monitor listener comprehension and adjust translation delivery accordingly. By detecting signs of listener confusion or processing difficulty, the system can modify its translation output timing, pacing, or presentation style to improve understanding while maintaining overall conversation efficiency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces conversation time and enhances the natural flow of bilingual conversations by allowing simultaneous translation, preventing confusion and making interactions more efficient and engaging.
Implementation Method 1
an active acoustic filter to occlude the user from hearing a spoken utterance
Data Source
AI summary
A plurality of utterances of a first user from the language of the first user is translated into a language of a second user. The confidence scores associated with the translated utterances are compared with a confidence threshold. A predetermined utterance gap is adjusted based on the comparison. The predetermined utterance gap is a duration of time that occurs between utterances.