18297218. Delay Estimation for Performing Echo Cancellation for Co-Located Devices simplified abstract (Google LLC)

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Delay Estimation for Performing Echo Cancellation for Co-Located Devices

Organization Name

Google LLC

Inventor(s)

[[:Category:Jesús De Vicente Pe�a of Stockholm (SE)|Jesús De Vicente Pe�a of Stockholm (SE)]][[Category:Jesús De Vicente Pe�a of Stockholm (SE)]]

Mans Gustaf Sebastian Ullberg of Stockholm (SE)

[[:Category:Lionel Koenig G�las of Mölnbo (SE)|Lionel Koenig G�las of Mölnbo (SE)]][[Category:Lionel Koenig G�las of Mölnbo (SE)]]

Delay Estimation for Performing Echo Cancellation for Co-Located Devices - A simplified explanation of the abstract

This abstract first appeared for US patent application 18297218 titled 'Delay Estimation for Performing Echo Cancellation for Co-Located Devices

The abstract describes a patent application for a system that uses matched filters to predict audio signals caused by the playback of a transmitted audio signal on multiple devices in a co-located group.

  • Matched filters are generated based on the received audio transmission to predict audio signals caused by playback.
  • The system captures audio signals produced by the playback of the transmitted audio on devices within the group.
  • The system identifies the matched filter that most accurately predicts the captured audio signal.
  • A delay estimate is generated based on the predictive contribution of the coefficients of the matched filter.

Potential Applications: - Audio synchronization in multi-device environments - Noise cancellation in shared audio playback scenarios - Real-time audio processing for live events or performances

Problems Solved: - Ensuring accurate synchronization of audio playback across multiple devices - Improving the overall audio experience in co-located group settings

Benefits: - Enhanced audio quality and synchronization - Seamless audio playback experience for users in close proximity - Efficient prediction and processing of audio signals in real-time scenarios

Commercial Applications: Title: "Multi-Device Audio Synchronization System for Enhanced User Experience" This technology could be used in entertainment venues, conference rooms, and public spaces where multiple devices are used for audio playback simultaneously. It can also be integrated into smart home systems for synchronized audio playback across different rooms.

Prior Art: Further research can be conducted in the field of audio signal processing, matched filters, and multi-device synchronization systems to explore existing technologies related to this innovation.

Frequently Updated Research: Stay updated on advancements in audio processing algorithms, real-time signal prediction techniques, and synchronization technologies to enhance the performance of this system.

Questions about the Multi-Device Audio Synchronization System: 1. How does the system ensure accurate prediction of audio signals across multiple devices? The system uses matched filters with coefficients to predict audio signals caused by playback, selecting the filter that most accurately matches the captured audio signal.

2. What are the potential challenges in implementing this technology in real-world scenarios? Challenges may include latency issues, compatibility with different devices, and optimizing the system for various acoustic environments.


Original Abstract Submitted

An audio transmission is received by a participant computing device. The participant computing device is one of a plurality of participant computing devices of a participant cohort that are co-located. Matched filters are generated based on the transmission that are configured to predict at least a portion of audio caused by playback of the transmitted audio signal. Each of the matched filters includes coefficients. An audio signal is captured with an audio capture device. The captured audio signal corresponds to audio produced by playback of the transmitted audio signal with audio output devices of devices of the participant cohort. A matched filter is identified that most accurately predicts the audio signal. A delay estimate is generated based on a predictive contribution of one of the coefficients of the matched filter.