Streaming TTS Translation Using Early Recognition Segments
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Solution Overview
Problem
Existing translation devices and software suffer from inefficiencies in communication due to prolonged waiting times for translated speech, especially in continuous speech, as they rely on final recognition results and synthesis after speech pauses, mimicking manual simultaneous interpretation is challenging.
Innovation Solution
A speech processing method that performs partial recognition and translation in a streaming manner by detecting uncertain recognition results, breaking sentences using punctuation marks, and adjusting speech speed dynamically to reduce waiting times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the recognition translation engine waits for speech pauses to return final certain recognition results, then the translation accuracy is improved, but the user waiting time is prolonged
Solution Approach 1:
The system performs preliminary recognition and translation actions by processing uncertain recognition results as they become available during continuous speech, rather than waiting for speech pauses. The user terminal detects uncertain recognition texts in real-time and triggers translation and speech synthesis before the speaker finishes, thereby reducing waiting time while maintaining acceptable accuracy through continuous improvement of recognition results.
2Reliability
If the system processes translation after speech pauses, then the translation reliability is improved, but the communication efficiency is reduced
Solution Approach 1:
The system maintains continuous useful action by continuously processing speech recognition and translation during ongoing speech without interruption for pauses. The user terminal continuously receives uncertain recognition results from the recognition engine and continuously triggers translation and speech synthesis, eliminating idle waiting time and maintaining high communication efficiency while the recognition system continuously refines accuracy.
3Loss of time
If the system uses uncertain recognition results for streaming translation, then the user waiting time is reduced, but the recognition stability is challenged
Solution Approach 1:
The system implements feedback mechanisms where the user terminal continuously monitors uncertain recognition results and uses this feedback to dynamically adjust translation timing and speech synthesis. The system compares uncertain recognition texts against previously obtained certain recognition texts to determine when to trigger translation, using this feedback loop to balance early translation benefits with recognition stability requirements.
Data Source
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AI summary
The present disclosure relates to a processing method for implementing a streaming TTS speech text, which comprises: a user beginning to speak and performing voice wake-up on a user terminal; the user terminal sending a streaming voice data packet to a recognition engine for speech recognition; the recognition engine continuously responding with uncertain recognition texts to the user terminal; the user terminal detecting and recognizing the uncertain recognition texts, and obtaining certain recognition texts in advance; the user terminal sending the predetermined certain recognition texts to a translation engine to perform translation and complete speech synthesis; the user terminal playing the synthesized speech. By partially determining recognition results in advance and performing translation and speech synthesis on the determined recognition results in a streaming manner, the method in the disclosure reduces the waiting time of the user before hearing the translated speech, thereby achieving the effect of manual simultaneous interpretation.