Wavelet Voice Sonogram vs FFT Analyzer

"Wavelet Voice Sonogram" is a sound spectrogram app that performs time-frequency analysis of acoustic signals. A spectrogram is a graph displaying the results of a sound frequency spectrum analysis, with time on the horizontal axis, frequency on the vertical axis, and signal strength represented by colors. This app can perform acoustic analysis and display the spectrograms by using three time-frequency analysis methods, Wavelet analysis, Octave Band analysis, and FFT analysis. It can also record sounds from iPhone's built-in microphone. While playing back a recording, you can search for the desired sound and analyze it. "Wavelet Voice Sonogram" makes it easy to analyze the acoustics of speech, instrumental sounds, noise, and more. It can also be used to learn the basics of speech analysis. Features: - Acoustic analysis can be performed using PCM data recorded with the iPhone's built-in microphone. It is possible to analyze 5 seconds of sound data backward from a user-specified point in time. - Three types of acoustic analysis, FFT analysis, octave band analysis and wavelet analysis, can be performed simultaneously. - PCM sound recording and playback is possible up to about 180 seconds, and the audio waveform graph and FFT analysis graph are displayed. While playing back sound, you can search for sound at any point in time. - Zoom in on a specific 10 seconds of PCM data and play back the sound. Used to find a specific sound at the point in time you want to analyze. - The spectrogram analysis result and time axis waveform can be contrasted and played back. Specifications: - Sampling frequency: 48 kHz - PCM recording time: approx. 180 seconds max. - Sound zoom function (10-Sec): Zooms in on any 10 seconds of PCM data and plays back the sound. - 3 types of acoustic analysis function (Analysis): About 5 seconds (Analysis points can be specified using the Time position slider.) -- FFT analysis (FFT): FFT 2048 points -- Octave band analysis (OCT): 1/48 octave band -- Wavelet analysis (DWT): Gabor Wavelet - Sound recording and playback, sound waveform and FFT graph display (Main): PCM graph, 10sec zoom graph, FFT graph. - Time position slider: Points to the cursor position on PCM graph. - Spectrogram display (FFT / OCT / DWT): 5 sec PCM graph and spectrogram analysis graph (vertical axis - time [0 - 5.0 sec], horizontal axis - frequency [100Hz - 8kHz]) - Snapshot (Snap): Save the analysis image in "Photos". Notes: - The acoustic analysis time varies significantly depending on the performance of your iPhone (product generation). It may take about 5 to 20 seconds. - Wireless (Bluetooth) headphones and headsets are not supported. - The first time the app accesses the built-in microphone and Photos after installation, the iOS system will ask you for permission to access them. If you have not enabled this setting, the application will not be able to access them due to iOS system privacy restrictions. Please enable the access permission in the iOS setting "Settings > Privacy & Security > Photos or Microphone". Please visit our iOS app support page for more information on this app.

FFT Analyzer is a powerful real-time spectrum analyzer for iPhone. It visualizes audio signals as a detailed frequency spectrum and waveform while presenting important measurements clearly. In addition to live microphone analysis, you can import and examine audio and video files from the Files app or Photo Library. Control playback directly from the waveform while the spectrum and measurements are recalculated for the current position. Key features: - Real-time FFT analysis using the microphone - Analysis of local audio and video files - Import from Files and Photo Library - Open compatible media directly from other apps - Interactive waveform with position slider - Play, pause, stop, and skip controls - Peak, RMS, and clipping indicators - Detection of dominant frequencies - Adjustable frequency and decibel ranges - Linear, logarithmic, and octave-based frequency axes - FFT bars, spectrum trace, and combined display - Waterfall and oscilloscope displays - Persistence, peak hold, and other visual effects - Customizable landscape layout - Extensive smoothing and level behavior settings - User interface in 18 languages File analysis also provides information such as duration, sample rate, channel count, peak values, and prominent frequency regions. Analysis remains synchronized with playback so you can inspect individual sections precisely. FFT Analyzer is designed for musicians, audio engineers, producers, educators, students, and anyone who wants to visualize and better understand audio signals. Processing takes place directly on your iPhone for fast and independent audio analysis tailored to the current signal. Export and reports Analysis results can be exported as a CSV file. The export includes the app version and a timestamp, file details and metadata, technical audio data, overall RMS, peak, and dynamic range values, dominant frequencies, detected findings, and time-based RMS, peak, and frequency values for each analysis frame.