Dynamic Sound Masking for Open Office Speech Privacy
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Solution Overview
Problem
Open space noise, particularly speech noise, significantly disrupts productivity and speech privacy in office environments, with existing noise-reducing methods failing to effectively address intelligibility and comfort issues as office densification increases.
Innovation Solution
A dynamic sound masking system using a network of microphones and loudspeakers that adjust noise masking sound levels and spectra in real-time to create targeted masking regions around noise sources, reducing speech intelligibility and increasing privacy and comfort without causing the Lombard Effect.
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 the overall noise levels are reduced, but speech intelligibility is unaffected or even increased
Solution Approach 1:
The patent applies local quality by deploying sound masking devices at specific locations throughout the open office space, creating localized masking zones rather than uniform noise reduction. Each device generates pink noise specifically targeted at masking speech frequencies in its immediate vicinity, allowing speech intelligibility to remain clear in distant areas while masking nearby conversations.
Solution Approach 2:
The patent introduces pink noise as an intermediary sound that masks speech frequencies. This intermediary noise acts as a mediator between the speech sources and the listeners, making it difficult to distinguish individual speech signals from the background pink noise, thereby reducing speech intelligibility without requiring physical barriers.
2Productivity
If open office spaces are densified to increase productivity, then more workers can work in the same area, but speech privacy and acoustical comfort deteriorate
Solution Approach 1:
The sound masking system operates autonomously to maintain speech privacy in dense office environments. The system continuously monitors and adjusts pink noise levels based on ambient sound conditions and occupancy, automatically providing speech masking without requiring manual intervention from workers or managers, thereby enabling high-density workspaces to maintain privacy independently.
Solution Approach 2:
The patent employs parameter changes by dynamically adjusting the frequency spectrum and intensity of pink noise output from sound masking devices. The system modifies these parameters based on real-time measurements of ambient noise levels and speech activity, optimizing the masking effect to maintain speech privacy as office density changes throughout the day.
3Loss of information
If uniform noise masking is applied throughout the open office space, then speech privacy is improved, but unnecessary noise increases in areas without speech activity
Solution Approach 1:
The patent implements dynamics by making the sound masking system adaptive and responsive to real-time conditions. Individual sound masking devices independently adjust their output levels based on local speech activity detection, creating a dynamic masking landscape that follows speech patterns throughout the office space, thereby reducing energy consumption in quiet areas while maintaining privacy where needed.
Solution Approach 2:
The patent divides the open office space into multiple independent zones, each with its own sound masking device that operates autonomously. This segmentation allows each zone to adjust its masking level independently based on local speech activity, preventing unnecessary noise generation in areas without speech while maintaining speech privacy in active zones.
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 acoustical comfort by dynamically adjusting noise masking levels based on noise source detection, minimizing unnecessary noise masking in non-distracted areas and preventing feedback loops, thereby enhancing worker satisfaction and productivity.
Implementation Method 1
A noise masking sound is output from a loudspeaker... The noise masking sound is output into an open space
Implementation Method 2
A microphone output signal from a microphone is received... detecting a presence of a noise source from the microphone output signal
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 microphone output signal from a microphone, the microphone one of a plurality of microphones in an open space. The method includes detecting a presence of a noise source from the microphone output signal, and determining whether the noise source is capable of being masked with a noise masking sound. The method further includes increasing a volume of a noise masking sound output from a loudspeaker responsive to a determination that the noise source is capable of being masked, the loudspeaker located in a same geographic sub-unit of the open space as the microphone. The loudspeaker is one of a plurality of loudspeakers in the open space.


