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CSR Racing 2
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Sound Spectrum Analysis

(18)
Price
$0.00
Category
Utilities & Music
Last Update
None
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Store Performance Index

64%

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Ratings & Reviews performance for Sound Spectrum Analysis

Ratings & Reviews performance provides an overview of what users think of your app. Here are the key metrics to help you identify how your app is rated by users and how successful is your review management strategy.

Number of reviews,
total

18

Avg rating,
total

⭐3.5

Description

3073 chars

The application is designed for analysis of a sound spectrum in real time (with a microphone). Besides, the application can be used as a measuring instrument of noise level (not for exact measurements). • Sound wave. • Fast fourier transform (FFT). FFT size: 2048 (the accuracy of determining the frequency of ±12 Hz), 4096 (±6 Hz), 8192 (±3 Hz), 16384 (±2 Hz), 32768 (±1 Hz), 65536 (±0.5 Hz), 131072 (±0.2 Hz). • Linear and logarithmic frequency scale. • Linear frequency scale with maximum details (there is a choice for the displayed frequency range). • Linear and logarithmic amplitude scale. • Octave bands (1/1, 1/3, 1/6, 1/12). • Window functions (Blackman, Hamming, Hann (Hanning), Blackman–Nuttall, Gaussian, Flat top). • A- and C-Weightings. • Peak hold. • Exponential spectrum averaging. • Peak frequency detection. • Values of any point (for frequency scale and sound wave (at maximum detail)). • Sound level meter (dB SPL). You can calibrate your microphone by launching a signal generator with a sinusoid frequency of 1000 Hz on another device and making the volume very low. When the sound is almost inaudible, it is necessary to find the amplitude for the frequency of 1000 Hz on the spectrum (FFT size: 16384). This value should be multiplied by 1.2 (to compensate for spectral leakage). It will be the reference value for your microphone. ESTIMATE THE TOTAL NOISE LEVEL BY USING THE SOUND WAVE MODE AT THE MAXIMUM VALUE. • Sample rate: 48000 Hz. • Taking a screenshot by lightly touching the screen. • Export data to a WAV or text file ("Y=[y1 y2... yn]", "y1;y2;... yn", "x1;y1\nx2;y2;..."). Number of points is adjusted via "FFT size". • Automatic stop in the sound wave mode (when increasing or decreasing signal strength). • Automatic stop in the spectrum mode. Now you can stop data collection when the start of the fading signal reaches the end of the FFT buffer. The beginning of the signal is not calculated accurately (just like with an automatic stop in the sound wave mode). • Test wave. • Saving the measurement results in the application. Files with saved data (SavedData_[date]_[time].txt) can be copied to a desktop/laptop computer or transferred to another iPhone using iTunes. There are buttons for quick loading and comparing saved files. • Dark theme. • List of frequency peaks. If several peaks have a common base, then they are considered as one peak. The minimum height of the peak for octave bands is 2 dB. • Interpolation of frequencies in the list of peaks. To interpolate the frequency of the peak, select the Gaussian window (the accuracy of determining the frequency can increase by 10-100 times). The calculation is not done for the extreme bins or if the adjacent bin is zero. • Calculation of the amplitude (in the list of peaks) using neighboring bins (to compensate for spectral leakage and use of the window). The number of bins used for calculation is written in brackets. • Collecting recent data (last minute). You can move over all collected data. The amplitude of the waveform can be changed in the sound wave mode.

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User reviews affect conversion to installs and app rating. Featured and helpful reviews are the first to be noticed by users and in case of no response can affect download rate. This is why it is highly recommended to reply to them.

wgr17
Nov 17, 2019

This app consistently responded to tones of known frequency with a peak that was at least an octave lower than the input tone.

CSR Racing 2

About Sound Spectrum Analysis

Developed by Dmitriy Kharutskiy.

Sound Spectrum Analysis is ranking in   Utilities & Music

Last update was at Noneand the current version is 2.2.9.

To see all other keys and revenue click here 1434975523

Sound Spectrum Analysis have a 18a user reviews.

Sound Spectrum Analysis was released in the App Store. It is developed by Dmitriy Kharutskiy, who have also released the following apps.

Sound Spectrum Analysis has 18 user reviews.​

Sound Spectrum Analysis has an average rating of 3.5. ​The latest version of Sound Spectrum Analysis 2.2.9​ ​​was ​released on None​.

You can download Sound Spectrum Analysis ​here

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