Google LLC (20240340324). Microphone Selection for Optimization of Audio Streams from Co-Located Devices simplified abstract

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Microphone Selection for Optimization of Audio Streams from Co-Located Devices

Organization Name

Google LLC

Inventor(s)

Manish Sonal 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)]]

[[: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)]]

Esbjörn Dominique of Stockholm (SE)

Microphone Selection for Optimization of Audio Streams from Co-Located Devices - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240340324 titled 'Microphone Selection for Optimization of Audio Streams from Co-Located Devices

The patent application describes a system where audio streams are received from participant computing devices in a teleconference setting, and a first audio stream is selected for broadcast based on signal quality information.

  • The system selects the best audio stream for broadcast by considering signal quality information and historical signal quality data.
  • The selected audio stream is then broadcasted to participant computing devices outside the participant cohort.
  • This technology aims to improve the overall audio quality in teleconferences by selecting the best audio stream for broadcast.

Potential Applications: - Teleconferencing systems - Remote collaboration tools - Virtual meeting platforms

Problems Solved: - Ensuring high-quality audio transmission in teleconferences - Improving the overall user experience in remote communication

Benefits: - Enhanced audio quality in teleconferences - Improved communication and collaboration among remote participants - Optimal use of network resources for audio transmission

Commercial Applications: Title: Enhanced Audio Quality System for Teleconferencing This technology can be utilized by telecommunication companies, software developers, and businesses that rely on remote communication for their operations. It can enhance the user experience in virtual meetings and conferences, leading to increased productivity and efficiency in remote collaboration.

Prior Art: Researchers can explore prior art related to audio stream selection algorithms in telecommunication systems and remote collaboration tools to understand the existing technologies in this field.

Frequently Updated Research: Researchers are constantly working on improving audio quality in telecommunication systems and remote collaboration tools. Stay updated on the latest advancements in audio stream selection algorithms and signal quality optimization techniques.

Questions about the Technology: 1. How does the system determine the best audio stream for broadcast in a teleconference? The system uses signal quality information and historical data to select the audio stream with the highest quality for broadcast. 2. What are the potential challenges in implementing this technology in large-scale teleconferencing systems? Large-scale teleconferencing systems may face challenges related to network bandwidth, latency, and synchronization of audio streams.


Original Abstract Submitted

audio streams are received from participant computing devices of a participant cohort that includes a plurality of participant computing devices that are each located in a same area and are each connected to a teleconference. a first audio stream is selected from the two or more audio streams for broadcast based at least in part on signal quality information indicative of a signal quality associated with each of the two or more audio streams and/or historical signal quality information indicative of a signal quality associated with prior audio streams received from the two or more participant computing devices. the first audio stream is broadcasted to one or more participant computing devices different than the plurality of participant computing devices of the participant cohort.