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 a technology that enables electronic devices to provide device-independent audio by capturing microphone data from multiple microphones and generalizing it using device-specific information.
- Key Features and Innovation:**
- Utilization of multiple microphones to capture data.
- Device-specific audio generalizer to generalize microphone data.
- Formation of device-independent audio data.
- Integration with machine learning models for further processing.
- Potential Applications:**
This technology can be applied in various electronic devices such as smartphones, tablets, laptops, and smart home devices to enhance audio processing capabilities.
- Problems Solved:**
- Ensures consistent audio quality across different devices.
- Streamlines audio data processing for machine learning applications.
- Improves user experience with device-independent audio.
- Benefits:**
- Enhanced audio quality.
- Seamless integration with machine learning models.
- Improved user experience and device compatibility.
- Commercial Applications:**
The technology can be utilized in consumer electronics, IoT devices, and audio processing software to provide a standardized audio experience across various platforms, enhancing market competitiveness.
- Questions about the Technology:**
1. How does the device-specific audio generalizer work? 2. What are the potential challenges in implementing this technology in different electronic devices?
- Frequently Updated Research:**
Stay updated on advancements in microphone technology, audio processing algorithms, and machine learning applications in audio processing for further insights into this technology.
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.
