Apple inc. (20240267674). DEVICE-INDEPENDENT AUDIO FOR ELECTRONIC DEVICES simplified abstract
Contents
DEVICE-INDEPENDENT AUDIO FOR ELECTRONIC DEVICES
Organization Name
Inventor(s)
Mehrez Souden of Los Angeles CA (US)
Jason Wung of Santa Clara CA (US)
Jonathan D. Sheaffer of San Jose CA (US)
Joshua D. Atkins of Lexington MA (US)
Siyuan Yuan of Stanford CA (US)
DEVICE-INDEPENDENT AUDIO FOR ELECTRONIC DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240267674 titled 'DEVICE-INDEPENDENT AUDIO FOR ELECTRONIC DEVICES
Simplified Explanation: The patent application discusses technology that enables electronic devices to provide device-independent audio by capturing microphone data from multiple microphones and generalizing it using device-specific information.
- Device captures microphone data from multiple microphones.
- Device-specific audio generalizer uses device-specific information to generalize the microphone data.
- Generalized data is transformed into device-independent audio data.
- Device-independent audio data can be further processed by a device-independent machine learning model.
Key Features and Innovation:
- Utilization of multiple microphones for capturing audio data.
- Device-specific audio generalizer for generalizing microphone data.
- Transformation of device-specific audio data into device-independent audio data.
- Integration of device-independent audio data with machine learning models for further processing.
Potential Applications:
- Enhancing audio quality in electronic devices.
- Improving voice recognition systems.
- Enabling seamless audio integration across different devices.
Problems Solved:
- Device-specific audio limitations.
- Incompatibility issues with audio data across devices.
- Lack of standardized audio processing methods.
Benefits:
- Consistent audio quality across devices.
- Enhanced user experience with device-independent audio.
- Improved accuracy in audio processing tasks.
Commercial Applications: Title: Device-Independent Audio Technology for Electronic Devices This technology can be utilized in smartphones, smart speakers, and other electronic devices to provide a seamless audio experience for users. It can be marketed to manufacturers looking to enhance the audio capabilities of their products and improve user satisfaction.
Prior Art: Prior art related to this technology may include patents or research papers on audio processing algorithms, device-specific audio optimization techniques, and machine learning models for audio data analysis.
Frequently Updated Research: Researchers in the field of audio processing and machine learning are constantly working on improving algorithms for device-independent audio processing. Stay updated on the latest advancements in this technology to leverage its full potential.
Questions about Device-Independent Audio Technology: 1. How does device-specific information impact the generalization of microphone data in this technology? 2. What are the potential challenges in implementing device-independent audio technology across a wide range of electronic devices?
Original Abstract Submitted
aspects of the subject technology relate to providing device-independent audio for electronic devices. in one or more implementations, microphone data captured by multiple microphones at an electronic device may be provided to a device-specific audio generalizer at the electronic device. the device-specific audio generalizer may utilize device specific information to generalize the microphone data to form device-independent audio data. the device-independent audio data may then be provided to a device-independent machine learning model at the electronic device or another electronic device for further processing.
