Distributed Audio Transducer Source Identification
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Solution Overview
Problem
Audio and video recordings often fail to accurately determine the source of audio signals, especially in larger environments where speakers are far from recording devices, leading to unintelligible recordings and difficulty in searching for content from specific participants.
Innovation Solution
A method and system using distributed audio transducers and computing devices to record and identify the source of audio signals by combining multiple recordings, determining the source of each signal, and storing them in separate files, employing techniques like voice recognition, amplitude, and phase difference analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a consolidated device with multiple speakers and microphones is used, then the device can generate recordings and transcripts, but speakers who are too far removed from the device are not detected or not detected to a discernible degree, resulting in an unintelligible recording
Solution Approach 1:
The system divides the recording function into multiple distributed audio transducers positioned throughout the environment rather than relying on a single consolidated device. Each transducer captures audio from its local area, and the computing device combines these distributed recordings to achieve both high detection accuracy and broad coverage area.
2Ease of manufacture
If recordings are stored as a single indexed file, then storage is simplified, but searching for content from a particular source becomes difficult
Solution Approach 1:
The system segments the audio recording into separate audio files based on the identified source of each audio signal. Instead of storing all audio in a single file, each speaker's audio is extracted and stored separately, making it easy to search for and retrieve content from specific participants without having to search through an entire mixed recording.
3Reliability
If video is used in recordings, then the reliability of preserving conversation content is improved, but it remains difficult to determine the source of a particular_statement or question
Solution Approach 1:
The system replaces visual identification methods with acoustic analysis techniques. Instead of relying on video to identify speakers, the computing device uses audio signal analysis including voice recognition, amplitude analysis, and phase difference analysis to automatically identify and attribute audio signals to their sources, providing more precise source identification.
Data Source
AI summary
Certain embodiments disclosed herein relate to systems and methods for recording audio and video. In particular, in one embodiment, a method of recording audio signals is provided. The method includes recording audio signals with a plurality of distributed audio transducers to create multiple recordings of the audio signals and providing each of the multiple recordings of the audio signals to a computing device. The computing device combines each of the multiple recordings into a master recording and determines a source for each audio signal in the master recording. Additionally, the computing device stores each audio signal in separate audio files according to the determined source of each audio signal.