Sensor-Linked Audio Transcription for Real-Time Note Capture
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Solution Overview
Problem
Existing technologies do not efficiently enable users to capture and utilize audio data for generating text notes during activities like traveling or driving, limiting the ability to record important information during communications sessions.
Innovation Solution
A method and system that utilize sensors to detect events during audio output, identify relevant locations in a transcript, and generate links to associated audio portions, allowing for the extraction and provision of transcript snippets to applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually take notes during audio communications, then they can capture important information, but it requires manual effort and time that reduces productivity during activities like traveling or driving
Solution Approach 1:
The system automatically transcribes audio data into text notes without requiring manual intervention. The computing device autonomously processes audio streams, generates transcripts, and provides them to applications, eliminating the need for users to manually take notes while maintaining high information capture efficiency during activities like traveling or driving
Solution Approach 2:
The patent replaces manual mechanical note-taking with automated speech-to-text technology. The system uses audio processing and natural language processing to convert spoken words into text automatically, substituting the mechanical action of writing notes with an automated digital transcription system that operates in real-time
2Speed
If the system processes audio data in real-time, then text notes are generated quickly, but it requires significant computational resources and processing power
Solution Approach 1:
The system processes audio data in segmented chunks rather than continuously processing entire audio streams. By dividing the audio into smaller segments and processing them in batches, the system achieves real-time text generation speed while reducing peak computational resource consumption and energy usage
Solution Approach 2:
The system performs preliminary processing of audio data by buffering and pre-processing audio segments before generating text notes. This preliminary action allows the system to prepare data in advance, reducing the computational burden during real-time text generation and lowering overall energy consumption while maintaining fast response speed
Data Source
AI summary
A method comprising: detecting a first event with use of a sensor, the first event to occur while audio data is output on a computing device, the audio data including speech; identifying a first location in a transcript of the speech from the audio data based on a signal from the sensor that detected an occurrence of the first event; identifying a portion of the transcript that includes the first location based on one or more timestamps that define the portion of the transcript relative to the first location; generating a link to audio that is associated with the extracted portion of the transcript; and providing the extracted portion of the transcript and the link to an application.