View source for HEWLETT-PACKARD DEVELOPMENT COMPANY , L.P. (20240282324). Noise Removal on an Electronic Device simplified abstract

=Noise Removal on an Electronic Device=


==Organization Name==

[[:Category:HEWLETT-PACKARD DEVELOPMENT COMPANY , L.P.|HEWLETT-PACKARD DEVELOPMENT COMPANY , L.P.]]


[[Category:HEWLETT-PACKARD DEVELOPMENT COMPANY , L.P.]]

==Inventor(s)==

[[:Category:Andre Da Fonte Lopes Da Silva of Palo Alto CA (US)|Andre Da Fonte Lopes Da Silva of Palo Alto CA (US)]][[Category:Andre Da Fonte Lopes Da Silva of Palo Alto CA (US)]]

[[:Category:Carol Tatsuko Ozaki of Palo Alto CA (US)|Carol Tatsuko Ozaki of Palo Alto CA (US)]][[Category: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.



[[Category:G10L21/0208]]
[[Category:G06F3/16]]
[[Category:G06V20/40]]
[[Category:G10L25/57]]
[[Category:G10L25/84]]
[[Category:H04L65/1069]]
[[Category:H04L65/1089]]
[[Category:H04M3/56]]
[[Category:CPC_G10L21/0208]]