What is the most accurate decibel meter app?

What is the most accurate decibel meter app?

Decibel X
Decibel X. This highly-rated, free app turns your smartphone into a pre-calibrated, accurate and easily portable sound level meter. It has a standard measurement range from 30 to 130 dB.

How do I calibrate my sound meter app?

Calibrating Your Device

  1. Get something with a speaker.
  2. Put the 2 devices at the same distance of the speaker, with the microphones facing the speaker.
  3. Play the calibration tone and adjust the volume so the Sound Level Meter or the calibrated phone say that the level is between 60-70 dB to use as reference.

Can my phone measure decibels?

With a free app and your Android phone, you can turn your phone into a noise meter and find out. Download Sound Meter from the Android Market and launch the app. It starts right up to the sound meter and measures the minimum, mean, and maximum ambient sound levels in decibels (dB).

What is the best free decibel app?

5 Best Noise Level Apps for Android

  • Sound Meter PRO.
  • Decibel X.
  • Sound Meter.
  • Sound Meter & Noise Detector.
  • Sound meter: decibel meter – db spl meter.

Is sound meter app accurate?

The National Institute for Occupational Safety and Health (NIOSH) evaluated the apps at its acoustic testing lab. The tests also compared results for i-Phones and Android phones. OSHA requires noise measurement instruments to have an accuracy of +/- 2 decibels (dB). Out of these three, SoundMeter had the best results.

What is the best free decibel meter app?

How accurate is the NIOSH SLM app?

± 2 dBA
Developed by experienced acoustics engineers and hearing loss experts. Tested and validated (accuracy ± 2 dBA) according to standards in a reverberant chamber at the NIOSH acoustics lab – the only proper method to validate accuracy.

Is NIOSH app accurate?

The most effective app was found to be the NIOSH (National Institute for Occupational Safety and Health) Sound Level Meter (EA LAB, Slovenia) with an R2 of 0.97. Conclusion: This study has shown significant variation in the ability of iPhone apps (Apple) to accurately predict environmental dB levels.

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