Tyler Wynn
With the increasing prevalence of hearing loss among adolescents, there is a growing concern about excessive exposure to recreational noise. As a result, sound level meter applications for smartphones have become more popular as a way to evaluate noisy environments. However, the accuracy of these apps has been called into question. Several studies have been conducted to assess the functionality and accuracy of these apps, with varying results. While some apps have been found to be reasonably accurate, especially when used with external microphones, others have shown significant variations in measurements across different devices and environments. The ubiquity of smartphones and the adoption of sound measurement apps can potentially impact noise research and control in workplaces and other settings. However, for these apps to be widely accepted, they must meet certain criteria for functionality, accuracy, and relevancy to users.
| Characteristics | Values |
|---|---|
| Ease of use | Simple, easy-to-use |
| Cost | Free |
| Accuracy | Within ±1 dB of the reference system |
| Calibration | Possible with an external microphone |
| Functionality | Lack of features and functionality in Android apps |
| Accessibility | Available on Google Play Store and Apple App Store |
| Use case | Occupational noise assessments |
| Measurement | A-weighted and un-weighted sound level measurements |
| Precision | Removes variability and limitations of built-in smartphone microphones |
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What You'll Learn
Accuracy of sound level apps in the occupational setting
The accuracy of sound level apps in occupational settings has been the subject of several studies in recent years. With the rise of mobile apps, there is a growing number of sound level meter (SLM) apps available on mobile phones. These apps are intended to detect occupational noise exposure and guide workplace health and safety professionals.
One study evaluated the accuracy and usefulness of SLM mobile apps, specifically testing the NIOSH Sound Level Meter, Decibel X, and SoundMeter X apps. The apps were evaluated for their accuracy in measuring sound levels in low-, moderate-, and high-noise settings within both simulated and real-world environments. The NIOSH Sound Level Meter app was found to be the most accurate, with consistent measurements across a range of sound levels. The Decibel X and SoundMeter X apps showed more consistent readings but consistently underestimated noise levels, which could pose a risk to workers. Overall, the study concluded that while the NIOSH app had equivalent accuracy to a calibrated SLM, none of the apps should replace SLMs as of yet.
Another study by Kardous and Shaw (2014) examined the accuracy of ten iOS and four Android apps in measuring noise in occupational settings. They concluded that iOS smartphones were adequate devices for assessing noise in occupational settings, but the Android interface was inadequate due to the variety of manufacturers and resulting lack of consistency.
The usefulness of sound level apps in the occupational setting is also important to consider. Smartphones are more economical than SLM instruments and are more portable, making them constantly available. They can also provide GPS data, which can be useful in certain situations. Additionally, the ubiquity of smartphones means that sound level apps can be used by a broader range of people and are more likely to be utilized to evaluate noisy environments.
However, challenges remain with using smartphones to collect and document noise exposure data, particularly regarding privacy and the collection of personal data. Furthermore, for sound level apps to gain acceptance in the occupational environment, they must meet certain minimal criteria for functionality, accuracy, and relevancy to workers.
In conclusion, while sound level apps have the potential to play a significant role in measuring environmental noise, especially in occupational settings, further advancements in technology are needed before they can fully replace traditional SLM instruments.
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The impact of microphone quality on accuracy
The accuracy of sound level apps is influenced by various factors, including the quality of the microphone. While smartphones have built-in microphones, more sophisticated applications may use external microphones to enhance accuracy.
A study by Murphy and King tested 100 phones from various manufacturers with different models and applications to assess their ability to measure noise levels accurately. They found that certain factors, such as the age and type of phone, can impact the accuracy of sound level measurements.
The use of external, calibrated microphones has been shown to significantly improve the accuracy and precision of smartphone sound measurements. A follow-up study by NIOSH researchers examined the performance of sound measurement apps using external microphones, resulting in measurements within ±1 dB of the reference system. This suggests that the use of external microphones can reduce the variability associated with built-in smartphone microphones.
However, it is important to note that the accuracy of sound level apps is not solely dependent on microphone quality. Factors such as improper settings, hardware issues, background noise, and the specific features and functionalities of the app can also impact the overall accuracy of sound level measurements.
To ensure optimal microphone performance, it is recommended to check and adjust the microphone's parameters within the app, including input level, gain, and noise reduction settings. Additionally, maintaining the microphone's physical condition by regularly cleaning it and protecting it from dirt, water damage, and physical damage is crucial for accurate sound level measurements.
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The importance of calibration
Calibration is essential to ensure the accuracy of sound level measurements. The accuracy of sound level meters can drift over time, and calibration helps address this issue. By comparing measurements taken by sound level apps with those from calibrated reference devices, such as acoustic calibrators or sound level meters, correction factors can be determined and applied to enhance the precision of the apps. This process is crucial for sound level apps to meet the required standards and be relied upon for various applications, especially in occupational settings where accurate noise monitoring is necessary for worker safety.
Additionally, calibration plays a vital role in the functionality of sound level apps. The performance of these apps depends on the specific device and the quality of its external microphone. Calibration allows for the evaluation and optimization of the app's functionality, ensuring it meets minimal criteria for functionality and relevancy to users. This is particularly important for Android-based apps, which often lack the advanced audio capabilities and uniform components of iOS apps, making it challenging to ensure consistent accuracy across various Android models.
Moreover, calibration is critical for health and safety compliance. Sound level measurements are essential in setting and maintaining safe sound level limits to protect individuals from excessive noise exposure, which can lead to permanent hearing damage. By calibrating sound level meters, organizations can adhere to health and safety guidelines and safeguard the well-being of their employees or patrons. For example, in noise-regulated environments like workplaces and public venues, accurate calibration is necessary to allocate safe working zones and ensure the proper use of ear protection.
In conclusion, calibration is of utmost importance for sound level apps to provide accurate and reliable measurements, meet functionality standards, and ensure compliance with health and safety regulations. Regular calibration, preferably at least once a year, helps maintain the accuracy and reliability of sound level meters, ultimately contributing to better hearing health and safety in various environments.
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The impact of device type and model on accuracy
The accuracy of sound level apps depends on the device type and model. A study by Murphy and King tested 100 phones from seven different smartphone manufacturers (18 Android and seven iOS models) to identify differences in their ability to measure noise levels accurately. They found that device age and type impacted accuracy.
The use of an external microphone can also improve accuracy. A study by NIOSH researchers found that sound level measurements taken with external, calibrated microphones improved the accuracy and precision of smartphone sound measurements, reducing variability. This is because the internal microphones of smartphones are affected by the device's position and the user's body, clothing, and movement.
Some sound level meter apps have been designed to meet compliance with instrumentation standards when used with suitable external microphones. However, the range of devices and microphones available can lead to significant variations in accuracy, function, and performance.
Android-based apps often lack the features and functionalities of iOS apps due to the open ecosystem of the Android platform and the variety of device manufacturers, suppliers, and components. A study by Maisonneuve et al. in 2010 supports this, finding that iOS apps are more accurate than Android apps.
Overall, while some sound level apps can be accurate, the device type, model, and choice between an internal or external microphone can significantly impact their accuracy.
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The limitations of sound level apps
Sound level meter applications for smartphones have become increasingly common, with the potential to have a far-reaching impact on noise research and control in various settings, including the workplace. However, there are several limitations and considerations to keep in mind regarding the accuracy and functionality of these apps.
Firstly, the accuracy of sound level apps can vary significantly depending on the device and the environment in which they are used. A study by Murphy and King tested 100 phones from different manufacturers and models, concluding that there can be differences in the ability of these devices to measure noise levels accurately. The variability in smartphone models, manufacturers, and components can introduce inconsistencies in the accuracy of sound measurements.
Secondly, the use of internal microphones in smartphones may limit the accuracy of sound level apps. A paper discussed on Cirrus Research plc highlighted that using the same app across multiple devices in a controlled environment resulted in differences of up to -28dB(A) and +10dB(A) when compared to a reference sound level meter. The impulsive content within the noise source also contributed to larger deviations from reference measurements.
Additionally, the location of the microphone on smartphones and tablets can vary, and users may not always be aware of its position. This can lead to variations in frequency response as users may inadvertently cover the microphone with their hands or clothing. Consequently, the accuracy of sound measurements may be compromised.
Furthermore, while some sound level meter apps have been designed to meet instrumentation standards, the combination of various devices and microphones can introduce significant variations in accuracy, function, and performance. The use of external microphones can enhance accuracy, as demonstrated by a NIOSH study, but it also introduces additional costs and complexities for users.
Lastly, the selection of appropriate sound level meter apps is crucial. Out of 62 Android apps examined in a PMC study, only four partially met the selection criteria, indicating a potential lack of reliable options available to users. The high variance in measurements and the lack of conformity of features across different devices further emphasize the limitations of sound level apps.
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Frequently asked questions
Sound level apps vary in accuracy. Some sound level meter apps have been designed to meet compliance with relevant instrumentation standards when used with a suitable external microphone. The accuracy of sound level apps also depends on the smartphone model and the number of apps available on the platform. For example, Android-based apps tend to lack the features and functionalities found in iOS apps.
The accuracy of sound level apps is influenced by the device's microphone location and the user's handling of the device. The microphone location on tablets is more variable than on smartphones, and users often hold their devices with the microphone facing their body, which can affect the frequency response.
Sound level apps must meet certain criteria for functionality, accuracy, and relevancy to be used in occupational noise monitoring. Some apps, such as SPLnFFT, Noise Hunter, NoiSee, and SoundMeter, have been found to have adequate accuracy for certain occupational noise assessments.
The NIOSH Sound Level Meter app, developed by experienced acoustics engineers and hearing loss experts, is trusted by the CDC and has been validated for accuracy in a reverberant chamber at the NIOSH acoustics lab. It is available for free on the App Store and provides relevant metrics found in professional sound instruments.
