SimpleFFT vs radioCREEP

This app can easily analyze the frequency of sound. For the sound of the recording file recorded at each refresh time interval, FFT is executed and displayed for the four voices collected one after another at each refresh interval.

RADIO CREEP: Audio Signal Analyzer transforms your iPhone into a professional-grade acoustic analysis tool. Built with Apple’s high-performance Accelerate Framework (vDSP), it enables researchers, audio engineers, and students to record audio and instantly generate core signal processing metrics for deep insights into sound dynamics. Key features include: - Real-time recording and analysis: Record up to 90 seconds of audio directly on your device. The app analyzes the recording rapidly upon stopping. - Loudness dynamics (RMS profile): View a detailed plot of the Root Mean Square (RMS) energy over time, showing normalized loudness dynamics and identifying patterns of steady sound (music) versus transient spikes (speech/sports commentary). - Acoustic stability score: Automatically calculates a stability metric based on the variance of the RMS energy, predicting the content type (scores below approx 0.15 indicate steady Music; higher scores suggest dynamic Talk/Sports). - Frequency fingerprint (Average FFT): Instantly compute and plot the Average Fast Fourier Transform (FFT) magnitude spectrum, revealing characteristic frequency components masked.