Real-Time Speech Recognition Prompts for Predicted Utterances
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Solution Overview
Problem
Existing speech recognition techniques do not provide real-time prompts for predicted subsequent utterances, which can help speakers avoid omitting or misspeaking content and enhance audience understanding.
Innovation Solution
A prompt generator is used to generate predicted subsequent utterance text sequences based on current and previous utterance texts, considering factors like event and speaker IDs, and is integrated into speech recognition services to provide real-time prompts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If speech recognition converts speech signals into text information in real-time, then the speed of information delivery is improved, but the accuracy and completeness of the recognized content deteriorates due to lack of predictive guidance
Solution Approach 1:
The system performs preliminary action by generating predicted subsequent utterance text sequences before the speaker actually speaks them. These predictions are displayed as prompts to guide the speaker, helping them maintain accurate and complete speech content while enabling real-time transcription.
2Device complexity
If speech recognition provides only current utterance text without predictions, then the device complexity is reduced, but the user experience and helpfulness deteriorates
Solution Approach 1:
The system introduces an intermediary element - the prompt generator that creates predicted subsequent utterance text sequences. This intermediary component acts as a mediator between the speech recognition system and the speaker, providing predictive guidance that enhances user experience without fundamentally complicating the core speech-to-text conversion process.
3Reliability
If real-time prompts with predicted subsequent utterances are added to speech recognition results, then the helpfulness and accuracy are improved, but the device complexity increases
Solution Approach 1:
The system applies segmentation by dividing the speech recognition functionality into distinct modules: the original speech-to-text recognition component and a separate prompt generation component. This segmentation allows the predictive functionality to be added as an independent module, improving reliability while managing complexity through modular architecture.
4Measurement precision
If speech recognition processes complete utterances before providing results, then the accuracy is improved, but the loss of time increases due to waiting for complete speech input
Solution Approach 1:
The system performs preliminary action by generating predicted subsequent utterance text sequences during the speech input process, before the speaker completes their full utterance. This allows the system to provide time-efficient results with accuracy guidance simultaneously, rather than waiting for complete input.
Data Source
AI summary
The present disclosure provides methods and apparatuses for providing prompts in speech recognition results in real time. A current speech input in an audio stream for a target event may be obtained. A current utterance text corresponding to the current speech input may be identified. A prompt may be generated based at least on the current utterance text, the prompt comprising at least one predicted subsequent utterance text sequence. A speech recognition result for the current speech input may be provided, the speech recognition result comprising the current utterance text and the prompt.