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How do I connect noise endure to my phone? 

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The noise levels imply how m...
To the best of our knowledge, it is the first attempt to comprehensively define the self-noise of cell-phone and furthermore apply it to source identification issue of audio forensics.
Current noise metrics like Leq do not provide a common language to report noise environment to residents, which is a key obstacle to effective noise management and acceptance.
Given the prevalence of mobile technology and that noise sensitivity appears to be a relatively stable individual difference, it is possible that noise sensitivity may distinguish individual mobile phone use.
Proceedings ArticleDOI
R. B. Dubey, S. Bharadwaj, Susham Biswas 
30 Oct 2020
7 Citations
Predicted noise levels over smart-phone are related to various health hazards.
Therefore, it is important to understand the factors which determine reset noise, and how this noise may be mitigated.
The results confirm that the proposed method can allow a mobile phone to obtain a clean speech signal even if the background noise is relatively high.
The noise attenuating stethoscope may further include a quick-connect coupling between the sound pick up and the sound delivery tube.
In this paper, we propose an improved noise detection technique based on naive Bayes classifier for effectively classifying users' phone call behaviors.
Furthermore, based on extensive analysis under different noise and acoustic conditions, we suggest recommendations for optimal placement of microphones on a cell phone.
The results also show that there is a significant relationship between phone age and its ability to measure noise accurately.
Mobile Phone Sensing offers a great opportunity toward the large scale monitoring of urban phenomena, such as the exposure of the population to environmental noise.
The proposed post-processing noise suppressor is promising for the receiver in cell-phone handsets and IC recorders.
Simulation results demonstrate that an AF noise recorded with a commercial cell-phone handset is successfully suppressed with little distortion in the target speech.
The findings do not support the hypothesis that long-term mobile phone use increases the risk of acoustic neuroma.
in cell phone networks, SNR can be improved by removing this external noise.
The results demonstrate that it is possible to reduce the background noise and improve the ability to comprehend the phone message through changes to some map parameters.