HEWLETT-PACKARD DEVELOPMENT COMPANY , L.P. (20240282324). Noise Removal on an Electronic Device simplified abstract
Contents
Noise Removal on an Electronic Device
Organization Name
HEWLETT-PACKARD DEVELOPMENT COMPANY , L.P.
Inventor(s)
Andre Da Fonte Lopes Da Silva of Palo Alto CA (US)
Carol Tatsuko Ozaki of Palo Alto CA (US)
Noise Removal on an Electronic Device - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240282324 titled 'Noise Removal on an Electronic Device
Simplified Explanation: The patent application describes a method that involves initiating an audio session, receiving a classification for the audio session, and automatically enabling inbound noise removal when the classification is voice.
Key Features and Innovation:
- Method includes initiating an audio session.
- Method involves receiving a classification for the audio session.
- Automatic enabling of inbound noise removal when the classification is voice.
Potential Applications: This technology could be applied in voice recognition systems, communication devices, and audio processing applications.
Problems Solved: The technology addresses the issue of unwanted noise interference during voice communication, enhancing the overall audio quality.
Benefits:
- Improved voice clarity in audio sessions.
- Enhanced user experience in communication devices.
- Efficient noise removal for better audio processing.
Commercial Applications: Potential commercial uses include integrating this technology into smartphones, smart speakers, conference call systems, and other audio devices to enhance voice communication quality.
Questions about the Technology: 1. How does the method differentiate between voice and other types of audio? 2. What are the potential challenges in implementing automatic noise removal based on audio classification?
Frequently Updated Research: Stay updated on advancements in audio processing technologies, voice recognition systems, and noise removal algorithms to enhance the efficiency and accuracy of this technology.
Original Abstract Submitted
in some examples, a method includes initiating an audio session. in some examples, the method includes receiving a classification for the audio session. in some examples, the method includes automatically enabling inbound noise removal when the classification is voice.
