Adaptive Soundscape System for Open Office Noise Control
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Solution Overview
Problem
Open space noise, particularly speech noise, significantly disrupts productivity and speech privacy in offices, leading to discomfort and stress among workers, as existing noise-reducing methods fail to effectively address speech intelligibility and fluctuating noise levels.
Innovation Solution
An adaptive soundscaping system that utilizes both ceiling microphones and user-worn headset microphones to dynamically adjust sound masking noise levels and spectra in real-time, correlating microphone data to optimize sound masking output and improve acoustical comfort and privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If noise-absorbing ceiling tiles, carpeting, screens, and furniture are used to decrease office noise levels, then noise levels are reduced, but speech intelligibility is unaffected or even increased
Solution Approach 1:
The system dynamically changes the parameters of sound masking noise (frequency, amplitude, spectral characteristics) in real-time based on environmental conditions and detected speech, allowing it to effectively reduce speech intelligibility while maintaining overall noise reduction benefits from traditional acoustic treatments
Solution Approach 2:
The system uses microphones to continuously monitor the acoustic environment and adjusts the sound masking output accordingly, creating a feedback loop that ensures speech intelligibility is effectively masked without over-suppressing general noise levels, thus resolving the contradiction between noise reduction and speech privacy
2Quantity of substance
If open space densification is accelerated to increase workspace capacity, then more workers can be accommodated, but open space noise problems become accentuated
Solution Approach 1:
The system provides localized sound masking tailored to specific zones within the open office space, adjusting masking parameters based on local speech detection and environmental conditions, allowing high workspace density while maintaining speech privacy and reducing noise impact in each local area
Solution Approach 2:
The system dynamically adjusts sound masking parameters (frequency spectrum, amplitude, temporal characteristics) based on real-time detection of speech events and environmental noise levels, enabling effective noise management in densely populated open spaces where traditional static acoustic treatments fail
3Object-affected harmful factors
If traditional noise reduction measures are implemented, then ambient noise levels decrease, but speech privacy and intelligibility control remain insufficient
Solution Approach 1:
The system introduces sound masking noise as an intermediary acoustic field that selectively interferes with speech transmission and intelligibility while coexisting with traditional noise reduction measures, thereby achieving both ambient noise reduction and enhanced speech privacy through combined acoustic treatments
Solution Approach 2:
The system creates a composite acoustic environment combining traditional passive noise control materials (acoustic panels, carpeting) with active sound masking technology, achieving synergistic effects that simultaneously reduce ambient noise levels and control speech intelligibility/privacy beyond what either approach could achieve alone
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces speech intelligibility and increases speech privacy by dynamically adjusting sound masking noise levels and spectra, enhancing the overall acoustical comfort and productivity in open office environments.
Implementation Method 1
sound masking noise output at a loudspeaker is adjusted responsive to the mobile device microphone data and the stationary microphone data
Data Source
AI summary
Methods and apparatuses for addressing open space noise are disclosed. In one example, a method for masking open space noise includes receiving a plurality of mobile device microphone data from a plurality of mobile devices. A location data associated with each mobile device in the plurality of mobile devices is received. A plurality of stationary microphone data is received from a plurality of stationary microphones. A sound masking noise output is adjusted at one or more loudspeakers responsive to the plurality of mobile device microphone data and the plurality of stationary microphone data.