Headset Audio Isolation via Spatial Beamforming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In open office environments, noise interference from coworkers hampers communication and productivity, as traditional noise cancellation headsets either fail to distinguish between noise and speech or require users to adjust their own speech levels without feedback, leading to discomfort or inefficiency.
Innovation Solution
A headset system that identifies target participants for ad-hoc communication, establishes connections, and modifies audio signals based on user head position, head-related transfer functions, and environmental layout to isolate speech from noise, providing clear communication while allowing users to maintain comfortable speech levels without disturbing others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional noise cancellation headsets are used, then noise interference is reduced, but speech from target participants cannot be distinguished from noise
Solution Approach 1:
The audio signal is segmented into multiple spatial components using beamforming technology. The system divides the audio field into directional channels, allowing selective processing of speech from specific directions (target participants) while maintaining noise cancellation in other directions. This segmentation enables the system to distinguish between relevant speech and irrelevant noise based on spatial origin.
Solution Approach 2:
Different spatial regions are assigned different audio processing qualities. The system applies enhanced speech preservation and clarity processing to directions where target participants are located, while maintaining strong noise cancellation in other directions. This local differentiation allows the headset to provide both noise reduction and speech intelligibility simultaneously.
2Loss of information
If users speak louder to be heard in open office, then communication clarity improves, but comfort and productivity decrease
Solution Approach 1:
The system provides real-time audio feedback to users about their own speech levels and the listening environment. This feedback mechanism allows users to speak at natural, comfortable volumes while the beamforming system automatically enhances the transmission of their speech to target participants. Users no longer need to shout to be heard, as the system intelligently directs and amplifies their speech only where needed.
3Object-affected harmful factors
If noise cancellation is applied to all audio, then background noise is reduced, but speech from nearby coworkers is also attenuated
Solution Approach 1:
The audio processing system dynamically adjusts its characteristics based on real-time detection of speech sources and noise patterns. When speech from target participants is detected in specific directions, the system dynamically switches from pure noise cancellation mode to speech-preserving beamforming mode in those directional channels. This dynamic adaptation allows the system to maintain noise cancellation globally while preserving speech intelligibility locally where needed.
Data Source
AI summary
In one example, a first headset establishes a connection with a second headset that is associated with a target participant. The first headset obtains, via the connection, a first audio signal corresponding to speech of the target participant. Based on the first audio signal, one or more parameters associated with a position or a movement of a head of a user of the first headset, one or more head-related transfer functions associated with a shape of the head of the user, and a layout of the environment of the first headset, the first headset modifies the first audio signal to produce a first modified audio signal that corresponds to the speech of the target participant that would be present at the head of the user in absence of the first headset and the noise generated in the environment.