Adaptive Noise Cancellation for Shared Audio Endpoints

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Solution Overview

Problem

Background noise from multiple audio endpoints in shared spaces is transmitted to remote participants, causing loss of intelligibility and fatigue during telecommunication sessions, as far-end participants cannot filter out unwanted noise using binaural cues.

Innovation Solution

Implementing adaptive noise cancellation techniques across multiple audio endpoints in shared spaces by detecting co-located devices, identifying the target noise source, and using a loudspeaker reference signal to remove background noise from microphone signals before transmission.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple audio endpoints operate in a shared space, then the utility and coverage of the space is improved, but background noise increases causing loss of intelligibility for remote participants

Engineering Contradiction:
Improveshared space utilizationVSAvoidbackground noise
Core Design Contradiction:
Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The patent extracts the harmful loudspeaker reference signal from the microphone signal by obtaining it from co-located audio endpoints and using adaptive filtering to remove it, thereby separating the useful speech signal from the harmful background noise generated by other endpoints in the shared space

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system uses adaptive noise cancellation with feedback mechanisms where the loudspeaker reference signal is continuously obtained from co-located endpoints and fed into the adaptive filter to dynamically cancel background noise, improving speech intelligibility for remote participants

Inventive Principle:
Principle #23Feedback

2Loss of information

If background noise is transmitted to remote participants, then all audio information is captured, but remote participants experience fatigue and loss of intelligibility

Engineering Contradiction:
Improveaudio information completenessVSAvoidintelligibility loss
Core Design Contradiction:
Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent converts the harmful background noise into a useful reference signal by obtaining the loudspeaker reference signal from co-located audio endpoints, which is then used by the adaptive filter to cancel the noise, transforming the problem of shared space noise into a solution that improves speech clarity for remote participants

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

3Object-affected harmful factors

If adaptive noise cancellation is implemented, then background noise is reduced, but system complexity increases

Engineering Contradiction:
Improvebackground noise levelVSAvoidnoise cancellation system
Core Design Contradiction:
Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The patent implements a universal noise cancellation approach where co-located audio endpoints share their loudspeaker reference signals with each other, allowing any endpoint to cancel noise from any other endpoint in the shared space, thereby reducing the need for complex individual processing at each endpoint while maintaining effective noise cancellation across the network

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUSRE49462E1Adaptive noise cancellation for multiple audio endpoints in a shared space
Publication Date: 2023.03.14 CISCO TECHNOLOGY INC
  • USRE49462E1 patent drawing
  • USRE49462E1 patent drawing
  • USRE49462E1 patent drawing

AI summary

Techniques for adaptive noise cancellation for multiple audio endpoints in a shared space are described. According to one example, a method includes detecting, by a first audio endpoint, one or more audio endpoints co-located with the first audio endpoint at a first location. A selected audio endpoint of the one or more audio endpoints is identified as a target noise source. The method includes obtaining, from the selected audio endpoint, a loudspeaker reference signal associated with a loudspeaker of the selected audio endpoint and removing the loudspeaker reference signal from a microphone signal associated with a microphone of the first audio endpoint. The method also includes providing the microphone signal from the first audio endpoint to at least one of a voice user interface (VUI) or a second audio endpoint, wherein the second audio endpoint is located remotely from the first location.