![]() The frame overlap setting increases the time resolution by calculating multiple FFTs as the audio data is received. It is highly recommended to keep the FFT Window feature enabled, as this prevents frequency artifacts due to sampling the audio data in blocks. ![]() The linear scale shows more detail and aids harmonic analysis, whereas the logarithmic scale better represents how we hear. The time span can be selected in the app settings.įrequency data can be displayed with a linear or logarithmic scale. The spectrogram is drawn from left to right as time passes, wrapping to the start when it reaches the edge of the screen. Color gradients are used to represent the intensity of each frequency band. Spectrogram data is drawn vertically - low to high frequency from bottom to top. The spectrum analyzer shows the frequency data - low to high frequency from left to right. The scope shows the audio waveform, using triggering (with FFT size over 1024) to produce standing waves. The oscilloscope and spectrum analyzer can be enabled and disabled under the app settings. Keep in mind that your screen resolution will limit how much detail can be shown. Smaller FFTs will allow you to see shorter sounds and frequency changes. Increasing the size will generate more frequency detail, but reduce time resolution. The number of frequency bands displayed is half the FFT size. The 8000 Hz rate is excellent for viewing voice and low frequency sounds. ![]() A higher sample rate will show a larger frequency range, whereas a lower rate will show a smaller range with more detail. Note: internal audio sample rate and quality are limited by Android platform.Ī Fast Fourier Transform (FFT) is used to calculate the spectrum of the audio data, breaking the data into multiple frequency bands from 0 Hz to half the sample rate. Tap the screen to pause and restart the displays Spectrogram timespan from 0.5 to 30 seconds Selectable gradients with linear luminance Optional sliding window: 2 to 8 times overlap ![]() Audio sample rate from 8000 to 44100 Hz It can use your device microphone to monitor your voice or surroundings, or internal audio from your background audio apps.Īn oscilloscope and spectrum analyzer are included to visualize the data. Spectre FFT creates beautiful spectrograms showing the frequency content of your audio data. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |