Spectrum Analysis

Select the file (mp3 or wav)

Audio File Analysis Methods

Various types of analyses can be performed on the audio file, including:

Time Analysis: This analysis calculates the RMS value over the time frame specified by the user, offering insights into the time-domain characteristics of the audio.
Spectrum Analysis: The spectrum analysis is based on the calculation of the 1-D Discrete Fourier Transform (DFT) using real input, averaged over all samples. The total time is divided by the user-defined sample time. Source: SciPy rfft.
Spectrogram Analysis: This analysis is performed by calculating consecutive Fourier transforms over the time frames entered by the user. It visualizes how the frequency spectrum changes over time. Source: SciPy spectrogram.
Octave Spectrum: This method utilizes a Butterworth filter with Second-Order Sections coefficients and an Order 16 Butterworth filter. It is particularly useful for acoustic analysis in different octave bands. Source: PyOctaveBand.

Each method provides detailed insights into different aspects of the audio, such as frequency content, time-domain behavior, and spectrum analysis across time.