Sound Spectrum Analysis

Sound Spectrum Analysis


Audio Frequency Analyzer (RTA)


FreeOffers In-App Purchases

2.3.5for iPhone, iPod touch
7.1
33 Ratings
Dmitriy Kharutskiy
Developer
3.6 MB
Size
Sep 11, 2023
Update Date
Utilities
Category
4+
Age Rating
Age Rating
4+
Apps in this category do not contain restricted content.
9+
Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.
12+
Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.
17+
You must be at least 17 years old to access this App.
Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.
Sound Spectrum Analysis Screenshots
Sound Spectrum Analysis posterSound Spectrum Analysis posterSound Spectrum Analysis posterSound Spectrum Analysis posterSound Spectrum Analysis posterSound Spectrum Analysis posterSound Spectrum Analysis posterSound Spectrum Analysis poster

About Sound Spectrum Analysis

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.
• Calibration file. The app recognizes only files for the UMIK-1 microphone, but you can specify which microphones you need support for.
Show More

What's New in the Latest Version 2.3.5

Last updated on Sep 11, 2023
Old Versions
• Bug fixes.
Show More
Version History
2.3.5
Sep 11, 2023
• Bug fixes.
2.3.4
Jan 28, 2023
• Changing the start frequency of the logarithmic scale when zooming (moving along the logarithmic scale when zooming).
• Added black color theme.
• Adaptation for iPhone 14 Pro.
• Bug fixes.
2.3.3
Feb 14, 2022
• Minor changes in text design.
2.3.2
Feb 2, 2022
• Bug fixes.
2.3.1
Nov 9, 2021
• Minor changes in text design.
2.3
Jun 29, 2021
• The max length of the data displayed on the time scale has been increased.
• Calibration file.
2.2.10
May 31, 2021
• Minor changes in text design.
2.2.9
May 15, 2021
• Minor changes in text design.
2.2.8
May 2, 2021
• Minor changes in text design.
2.2.7
Apr 10, 2021
• Minor changes in text design.
2.2.6
Mar 7, 2021
• Minor changes in text design.
2.2.5
Feb 28, 2021
• Minor changes in text design.
2.2.4
Feb 21, 2021
• Bug fixes.
2.2.3
Feb 13, 2021
• Minor changes in text design.
2.2.2
Dec 13, 2020
• Selecting the range (start frequency) of the logarithmic scale.
• Bug fixes.
2.2.1
Nov 22, 2020
• The zoom algorithm for the all data scale and time scale has been changed.
• Bug fixes.
2.2
Nov 1, 2020
• Exponential spectrum averaging.
• Automatic stop by timer.
• Access to saved files through the iOS Files app.
2.1.1
Oct 6, 2020
• Bug fixed in the zoom of the linear scale.
2.1
Aug 21, 2020
• 1/n-octave smoothing for a logarithmic scale.
• For the linear scale, the algorithm for selecting the frequency range was changed.
• The name of the audio input.
• Export of all the recent raw data.
• Save of all the data.
2.0
Jun 8, 2020
• Collecting recent data (last minute).
• Moving over all collected data. The amplitude of the waveform can be changed in the sound wave mode.
• Changed the direction of calculating the ordinal number of points on the time scale (sound wave mode).
1.4.1
May 31, 2020
• Minor changes.
1.4
May 24, 2020
• Buttons for quick loading and comparing saved files.
• Values of any point for logarithmic scale.
1.3.1
May 11, 2020
• Minor changes.
1.3
Apr 24, 2020
• 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.
• Added windows (Gaussian window and Flat top window). Removed the sine window (please let me know if you need this option).
• 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).
• A more detailed zoom level for the sound wave (time scale).
• Bug fixes.
1.2
Feb 6, 2020
• Saving the measurement results in the application.
• Dark theme
• And other small features.

Sound Spectrum Analysis FAQ

Click here to learn how to download Sound Spectrum Analysis in restricted country or region.
Check the following list to see the minimum requirements of Sound Spectrum Analysis.
iPhone
Requires iOS 11.0 or later.
iPod touch
Requires iOS 11.0 or later.
Sound Spectrum Analysis supports English, German, Japanese, Russian
Sound Spectrum Analysis contains in-app purchases. Please check the pricing plan as below:
Full version
$2.99

Related Videos

Latest introduction video of Sound Spectrum Analysis on iPhone
Latest introduction video of Sound Spectrum Analysis on iPhone

Sound Spectrum Analysis Alternative

You May Also Like

Get more from Dmitriy Kharutskiy