Multi-Smartphone Audio Recording with Speaker Diarization
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Solution Overview
Problem
Business meetings are often inefficient due to inadequate preparation and poor organization of meeting materials, with a lack of effective audio recording and processing technologies that hinder productivity and result in significant time wastage and financial losses.
Innovation Solution
A system that uses multiple smartphones to record meeting audio, employing speaker identification and diarization, merging channels, and providing voice-to-text transcription, while allowing for post-meeting annotations and filtering to create a coherent storyline.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple smartphones are used to record meeting audio, then audio recording quality and speaker identification capability are improved, but device complexity and coordination difficulty increase
Solution Approach 1:
The system divides the meeting space into multiple recording zones, each handled by a separate smartphone. Each device independently records audio from its local position, and the system segments the audio processing tasks by assigning different analysis functions to different devices or processing stages, reducing the complexity burden on any single device.
Solution Approach 2:
Multiple smartphone recordings are merged into a unified audio stream with synchronized timestamps. The system combines audio data from multiple sources, merges speaker identification results from different devices, and integrates transcription outputs into a single coherent meeting record, improving overall accuracy while managing complexity through centralized coordination.
2Speed
If audio recording and processing is performed during the meeting, then real-time feedback is improved, but processing time and computational resources increase
Solution Approach 1:
Voice profiles and speaker characteristics are pre-recorded and stored before the meeting begins. Audio preprocessing steps such as noise filtering and segmentation are performed in real-time with minimal computational overhead, while more intensive tasks like full transcription and detailed analysis are deferred to post-meeting processing using the pre-prepared audio segments.
Solution Approach 2:
During the meeting, the system performs partial processing focused on critical functions only—detecting speaker turns, identifying active speakers, and capturing key audio segments. Full transcription and detailed analysis are performed selectively on identified speaker segments rather than processing the entire audio stream in real-time, reducing energy consumption while maintaining useful real-time feedback.
3Loss of time
If meeting materials are distributed after the meeting, then preparation time is improved, but distribution delay and productivity loss increase
Solution Approach 1:
Audio recordings, speaker identifications, and preliminary transcriptions are automatically generated and prepared during or immediately after the meeting concludes. Meeting materials including audio files, transcripts, and action item lists are pre-formatted and ready for distribution before the meeting officially ends, eliminating post-meeting compilation delays.
Solution Approach 2:
The system acts as an intermediary that automatically processes meeting audio and generates distribution-ready materials. Rather than requiring manual compilation by meeting organizers, the automated system produces formatted transcripts, identifies action items, and prepares files for immediate distribution through integrated communication channels, reducing both time loss and information gaps.
Data Source
AI summary
A method of providing audio information from a meeting includes receiving a first audio stream from a first input audio device and a second audio stream from a second input audio device during the meeting, identifying a first audio fragment from the first audio stream, and identifying a second audio fragment from the second audio stream. The method also includes compiling the audio fragments from the first and second audio streams into an audio file that includes at least the first audio fragment and the second audio fragment. The method further includes providing the audio file to one or more recipients. The audio file identifies the first audio fragment as corresponding to a first participant of the meeting and the second audio fragment as corresponding to a second participant of the meeting.