SmarterNoise Pro vs Audio SA

SmarterNoise Pro is the most advanced edition of the SmarterNoise recording sound level meters. SmarterNoise Pro edition is developed especially with more advanced measurements in mind, and includes many requested features such as a frequency spectrum display, export of measurement data, A-, C- or no weighting for sound level measurement, and full screen audio mode. SmarterNoise Pro edition does not contain any advertising, and performs accurately and fast. Features: • Sound level measurement in video mode • Sound level measurement in audio mode • Sound meter snapshot camera • Record video and audio files (paid function) • Recording timer • Sound level activated audio recording • Frequency spectrum display (paid function) • Peak frequency detection • A-, C- or no frequency weighting • Export of measurement data in CSV format • Full HD (paid function), HD and VGA video resolution • Three video quality settings • Archive for saved files • Sharing of saved files • Calibration • Save location of measurement (optional) • Time and date • Continuous Leq, LAeq, LCeq value • 10 second sound level average (Leq, LAeq, LCeq) • 60 second sound level average (Leq, LAeq, LCeq) • Maximum and minimum decibel level About decibels and sound level measurement The unit for measuring sound is called a decibel. Because the decibel scale is logarithmic, a sound with an intensity that is twice that of a reference sound corresponds to an increase of about 3 decibels. The reference point of 0 decibel is set at the intensity of the least perceptible sound, the threshold of hearing. On such a scale a 10-decibel sound is 10 times the intensity of the reference sound. Highlighting this is important as already a few decibels higher or lower makes a noticeable difference in how noise is perceived. The preferred method to describe sound levels that vary over time, resulting in a single decibel value measuring the total sound energy over the period, is called Leq. It is however common practice to measure sound levels using A-weighting, which attenuates lower and higher frequencies that the average person cannot hear. In this case the value is called LAeq. A- and C-weighting The A-weighting is a standard, commonly used filter that attempts to alter the measured sound pressure levels to more closely match the perception of the human ear. A-weighting makes the sound level meter less sensitive to very high (over 8000 Hz) and low frequencies (below 1000 Hz). C-weighting also attenuates low and high frequencies, but the attenuation of low frequencies is much less severe compared to A-weighting. Calibrate: Calibrate the application using the calibration tool found in the settings menu. Phones and their components vary in quality and setup so you need to calibrate the app in order for the results to be relatively comparable. One suggestion is that you close the window and door to your bedroom or bathroom, turn off appliances, and once its very quiet calibrate the app so the reading is about 30 decibel.

"Audio SA" is a spectrum analyzer that can capture voiceprints as TFFT images. The created TFFT image can be exported as a high resolution image. (Image size example iPhoneSE3: 4096×4096, iPhoneX: 6144×6144) If you just want to try creating a voiceprint, you don't need to worry about the settings. Just record your voice and run the TFFT to see the voiceprint. "Audio SA" can also be used for FFT-related learning. You can also check changes in important characteristics such as FFT frequency resolution and dynamic range while switching the FFT size and window function. As an additional function, we have implemented a simple waveform generator, so please try it when learning. The simple waveform generator can generate sine waves, square waves, Gaussian white noise, and their combinations. When using TFFT images for machine learning, etc., it will be necessary to give sufficient consideration to the settings. "Audio SA" allows you to set the audio waveform analysis range, FFT size, power spectrum scale, window function, and drawing color. The analysis range of the audio waveform is set by scaling and moving the audio waveform. The displayed range becomes the analysis range. Tap the play button to play only the analysis range, which is convenient for checking. FFT size can be selected from 256,512,1024,2048,4096,8192,16384,32768. (However, you can select from 256, 512, 1024, 2048, and 4096 during recording and playback.) The power spectrum scale can be selected from Linear scale, Log scale, and Mel scale. For Mel scale, you can set the break frequency. The mel scale is close to a linear scale up to the break frequency and close to a log scale after the break frequency. 700Hz, which is the most commonly used frequency, is set as the default value. The window function can be selected from Blackman, Hamming, Hann, Rectangular. It is recommended to choose Blackman when wide dynamic range is required and Hamming when high frequency resolution is required. Roughly speaking, Hann is a trait between Blackman and Hamming. For Rectangular, no special window function is multiplied during FFT transform. The audio data cut out from the audio waveform for the FFT size is used as it is. In addition, the lower limit of the dynamic range when drawing TFFT images can also be set. It's easy to set up, just swipe up and down on the FFT image. The part displayed as the FFT image is drawn as it is in the TFFT image. "Audio SA" consumes tickets to record audio. Tickets can be earned by watching ads. However, if you purchase "Remove Ads" as an in-app purchase, you will be able to record without a ticket. [details] https://app.brain-workout.org/spectrumanalyzer-e/