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Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually.
VibroToolbox is a tool for research and education in vibrometry. Test your audio equipment, describe responses to vibratory stimulation and analyze directionality. It works with precision i/o hardware or simple sound cards, various sensors and speakers.
A cross platform dual channel FFT based Acoustic Analysis Tool to help engineers analyze live professional sound systems using the transfer function. One feature is the ability to capture four sample plots, average them, and invert to aid in final EQ
Virtual Sound Level Meter for analyzing calibrated sound files
This project is the MATLAB development of a virtual sound level meter. The program will read in a calibrated .wav file and allow the user to analyze it as one would analyze a sound field with a sound level meter. The software implements Fast, Slow, Impulse and LEQ; A, C and Flat Weighting; Ln and Noise Dose analysis; Octave and 1/3 Octave band analysis; high resolution FFT analysis and spectrograms. Band analysis can be made using fast FFT methods or slower, but ANSI standard...
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Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. It has been renamed "pdatascope" to avoid a name-clash with Pyscope, a scoping package on PyPi. See https://sourceforge.net/p/pydatascope/ for the latest code.
...The project includes a loudness calculation program based on Zwicker's Method, and a WAV file analyzer generating data files for loudness calculation. Documentation and test files are also provided.
DTMF detector library and/or application that reads in the specified audio file and returns/outputs whether DTMF detected and/or list of detected digits. May have GUI and command line interfaces.
The Audio-Analyzer project is a set of tools for measuring the frequency response, distortion, and quality of audio equipment. It includes test signal generators and spectrum analyzers.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.