Conference Call Transcription via Distributed Partial Transcript Compilation
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Solution Overview
Problem
Current methods for transcribing conference calls are inefficient, as they often require human note-takers, result in large and unnecessary audio transcripts, and fail to accurately capture the nuances of speech, especially as businesses grow, leading to increased overhead costs and ineffective information dissemination.
Innovation Solution
A system that utilizes mobile devices and a central server to create partial transcripts of conference calls, which are then assembled into complete transcripts, allowing for real-time speech-to-text conversion, linked audio and text integration, and language translation, enabling efficient and accurate transcription of conference data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human note takers are used to transcribe conference calls, then transcription accuracy and speech nuance capture are improved, but overhead costs and operational complexity increase significantly as business size grows
Solution Approach 1:
The patent replaces the mechanical system of human note-taking with an automated speech-to-text conversion system using mobile devices and central servers. The system captures audio from conference calls, converts it to text locally on each device, and automatically compiles complete transcripts, eliminating the need for human transcriptionists while maintaining accuracy through technological automation.
2Productivity
If automated speech-to-text conversion is performed on the entire conference call, then transcription speed and productivity are improved, but information relevance and utility decrease due to inclusion of unnecessary data
Solution Approach 1:
The patent applies local quality by enabling each mobile device to perform speech-to-text conversion only for the specific speaker or segment it is monitoring. Each device creates a partial transcript focused on its local audio input, and the central server compiles these localized transcripts into a complete transcript. This approach maintains high information relevance by focusing transcription resources on specific speakers rather than transcribing everything uniformly.
Solution Approach 2:
The patent segments the conference call transcription task by having each mobile device independently transcribe audio from its microphone or connected audio source. Each device creates a separate partial transcript that is then submitted to the central server for compilation. This segmentation allows parallel processing of multiple speakers simultaneously, improving productivity while maintaining relevance through focused, distributed transcription.
3Ease of operation
If pure text transcripts are created for entire conference calls, then information accessibility is improved, but file size and storage requirements increase significantly
Solution Approach 1:
The patent segments the complete conference transcript into multiple partial transcripts, with each partial transcript generated by a specific mobile device for its monitored speaker or time segment. These segmented transcripts are stored individually and can be selectively accessed, reducing the need to store and process one massive transcript file while maintaining full information accessibility through distributed storage and compilation.
Data Source
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AI summary
Presented are systems and methods for creating a transcription of a conference call. The system joins an audio conference call with a device associated with a participant, of a plurality of participants joined to the conference through one or more associated devices. The system them creates a speech audio file corresponding to a portion of the participant's speech during the conference and converting contemporaneously, at the device, the speech audio file to a local partial transcript. The system then acquires a plurality of partial transcripts from at least one of the associated devices, so that the device can provide a complete transcript.