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Real time sound analyzer (Mobile App)

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Project Domain / Category
Android Mobile App
Abstract / Introduction
This is an android based mobile application that takes input of voice, sound from a nearby device and shows the
spectrum of the audio. The sound is analyzed with Fast Fourier Transformation and the data is uniformly updated. The
spectrum consists of the power in dB, shows frequency and wave form like sinusoidal. It takes less than one second to
build the frequency response curve in the full audio range of 20-20000 Hz in 2.5 Hz resolution with the wideband
audio signal generated by the same device. This app is useful to visualize your own voice or music or any other sound.
It can also be used to test instruments or even tune them.
Functional Requirements:
1. Input source selection is microphone.
2. Offline Android App (No Internet required)
3. Design spectrum interface
4. App can take screen shots of the spectrum interface.
5. Peak finding
6. Linear and logarithmic scales
7. Markers frequency and amplitude deltas
8. Frequency is measured by analyzing maximum sound level.
9. Show the spectrum of the signal 10.Low
latency for high responsiveness
11.Low battery drain due to high performance native code 12.Software is
using FFT (Fast Fourier Transform) internally.
13.Permission must be taken from the phone’s microphone for the input.
Development environments / IDEs for Android application Android SDK
Java and xml
OpenGL ES (2.0 or 3.0) can be used for graphics.


Android, Java


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