Real-Time Speech Recognition With Contextual Augmentation
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Solution Overview
Problem
In automated speech recognition systems, users often finish speaking before recognition results are displayed or acted upon, limiting the ability to provide real-time contextual suggestions during conversations.
Innovation Solution
A system processes conversational speech from multiple users to identify topics and key words/phrases by analyzing speech characteristics and visual cues, providing contextual information such as transcriptions, hyperlinks, and maps in real-time to enhance the conversation experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech recognition processes and displays results after user finishes speaking, then recognition accuracy is improved, but real-time interaction capability deteriorates
Solution Approach 1:
The system performs preliminary speech recognition processing during the user's speech, generating partial results before the user finishes speaking. This allows the system to prepare recognition outcomes in advance, enabling display or action to occur while the user is still speaking or immediately upon completion, thus maintaining both accuracy and real-time responsiveness.
2Loss of information
If the system provides comprehensive recognition results after speech completion, then information completeness is improved, but user engagement during speech deteriorates
Solution Approach 1:
The system provides intermediate feedback by displaying partial recognition results, contextual suggestions, or relevant information during the user's speech. This continuous feedback loop keeps users engaged and informed about how their speech is being processed, while still delivering complete recognition results after speech completion.
Solution Approach 2:
The system performs preliminary processing to identify and display relevant information, contextual suggestions, or key concepts during speech. This preliminary action provides value to users in real-time without compromising the completeness of final recognition results.
3Loss of information
If the system processes speech to identify topics and keywords in real-time, then contextual suggestion quality is improved, but processing time increases
Solution Approach 1:
The system performs partial speech processing during user speech to identify topics, keywords, or relevant concepts, generating contextual suggestions based on incomplete but progressively improving data. This partial action provides timely contextual feedback while avoiding the need to wait for complete speech processing, thus reducing perceived processing time.
Solution Approach 2:
The system performs preliminary analysis of speech content during delivery, identifying topics and keywords as they are spoken. This preliminary action enables the generation of contextual suggestions without requiring complete speech processing to be finished first, thereby reducing processing delays.
Data Source
AI summary
The subject matter of this specification can be embodied in, among other things, a method that includes receiving two or more data sets each representing speech of a corresponding individual attending an internet-based social networking video conference session, decoding the received data sets to produce corresponding text for each individual attending the internet-based social networking video conference, and detecting characteristics of the session from a coalesced transcript produced from the decoded text of the attending individuals for providing context to the internet-based social networking video conference session.