Spectrogram analysis is a visual representation of the spectrum of frequencies in a signal as they vary with time, providing critical insights into the time-frequency characteristics of the signal. It is widely used in fields such as audio signal processing, speech analysis, and seismology to identify patterns, anomalies, and features that are not easily discernible in the time domain alone.