View source for 20240040309. Non-Coherent Noise Reduction For Audio Enhancement on Mobile Device simplified abstract (MEDIATEK INC.)

=Non-Coherent Noise Reduction For Audio Enhancement on Mobile Device=


==Organization Name==

[[:Category:MEDIATEK INC.|MEDIATEK INC.]]


[[Category:MEDIATEK INC.]]

==Inventor(s)==

[[:Category:Chi Sheng Wu of Hsinchu City (TW)|Chi Sheng Wu of Hsinchu City (TW)]][[Category:Chi Sheng Wu of Hsinchu City (TW)]]

[[:Category:Liang-Che Sun of Hsinchu City (TW)|Liang-Che Sun of Hsinchu City (TW)]][[Category:Liang-Che Sun of Hsinchu City (TW)]]

[[:Category:Yiou-Wen Cheng of Hsinchu City (TW)|Yiou-Wen Cheng of Hsinchu City (TW)]][[Category:Yiou-Wen Cheng of Hsinchu City (TW)]]

[[:Category:Shun-Chang Zhong of Hsinchu City (TW)|Shun-Chang Zhong of Hsinchu City (TW)]][[Category:Shun-Chang Zhong of Hsinchu City (TW)]]

==Non-Coherent Noise Reduction For Audio Enhancement on Mobile Device - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240040309 titled 'Non-Coherent Noise Reduction For Audio Enhancement on Mobile Device

==Simplified Explanation==

The abstract describes a patent application for techniques related to reducing non-coherent noise in audio signals captured by multiple microphones on a mobile device. The proposed method involves receiving signals from multiple audio sensors corresponding to different channels, performing non-coherent noise reduction on the signals based on their respective signal-to-noise ratios, and then combining the signals to generate an output signal.

* The patent application proposes a method for reducing non-coherent noise in audio signals captured by multiple microphones on a mobile device.
* The method involves receiving signals from multiple audio sensors corresponding to different channels.
* A processor then performs non-coherent noise reduction on one or more signals to suppress non-coherent noises based on their respective signal-to-noise ratios.
* The processor combines the signals after noise reduction to generate an output signal.

Potential applications of this technology:

* Mobile devices with multiple microphones, such as smartphones or tablets, could benefit from improved audio quality and noise reduction during voice calls or audio recordings.
* This technology could be used in conference call systems or video conferencing applications to enhance audio clarity and reduce background noise.
* It could also be applied in voice recognition systems or virtual assistants to improve speech recognition accuracy in noisy environments.

Problems solved by this technology:

* Non-coherent noise, such as background noise or interference, can degrade the quality of audio signals captured by multiple microphones.
* This technology addresses the problem of non-coherent noise by applying noise reduction techniques based on the signal-to-noise ratio of each microphone signal.
* By suppressing non-coherent noises, the technology improves the overall audio quality and intelligibility of the captured signals.

Benefits of this technology:

* Improved audio quality: By reducing non-coherent noise, the technology enhances the clarity and intelligibility of audio signals captured by multiple microphones.
* Better user experience: Users of mobile devices or communication systems can enjoy clearer and more natural-sounding audio during voice calls or recordings.
* Enhanced speech recognition: The technology can improve the accuracy of voice recognition systems or virtual assistants by reducing the impact of background noise on speech signals.


==Original Abstract Submitted==

various techniques pertaining to non-coherent noise reduction for audio enhancement on a multi-microphone mobile device are proposed. a processor receives a plurality of signals from a plurality of audio sensors corresponding to a plurality of channels responsive to sensing by the plurality of audio sensors. the processor then performs a non-coherent noise reduction on one or more signals of the plurality of signals to suppress one or more non-coherent noises in each of the one or more signals based on a respective signal-to-noise ratio (snr) associated with each of the one or more signals. the processor further combines the plurality of signals subsequent the noise reduction to generate an output signal.



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