https://github.com/otrenav/audio-cross-correlation
Audio cross-correlation analysis with Python with support for WAV and HDF5 files.
https://github.com/otrenav/audio-cross-correlation
audio correlation hdf5 python wav
Last synced: 30 days ago
JSON representation
Audio cross-correlation analysis with Python with support for WAV and HDF5 files.
- Host: GitHub
- URL: https://github.com/otrenav/audio-cross-correlation
- Owner: otrenav
- License: mit
- Created: 2020-11-23T19:02:54.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-05-23T15:13:54.000Z (about 2 years ago)
- Last Synced: 2025-11-24T01:20:46.495Z (7 months ago)
- Topics: audio, correlation, hdf5, python, wav
- Language: Python
- Homepage:
- Size: 18.6 KB
- Stars: 5
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[Delta Lab](https://links.deltalab.ai/website) | [Twitter](https://links.deltalab.ai/twitter) | [LinkedIn](https://links.deltalab.ai/linkedin)
---
# Audio cross-correlation analysis
- Omar Trejo
- August, 2016
## Objective
The first time I worked on this project it was to downsample WAV files and to
provide cross-correlation analysis. The second time I worked on these was to add
support for HDF5 file format.
## How to use this scripts
The documentation for each script is within itself. Here
I'll only explain the general procedure to use them.
### Step 1
Put the two audio files in the the "audio" directory which is located in the
root directory for these scripts. Let's assume one is called
"test_audio_original.wav" and the other one is called "test_audio_delayed.wav".
### Step 2
Downsample both audio files to the desired sample rate. Keep in mind that the
desired sample rate should be at most the same than the lowest of the sample
rates for the two files.
`$ python downsample.py ./audio/test_original.wav 8192`
`$ python downsample.py ./audio/test_delayed.wav 8192`
For each command you will see some output showing the information of it's
original audio file as well as the downsampled version.
The results will be stored as:
`./results/test_original_downsampled_to_8192.wav`
`./results/test_delayed_downsampled_to_8192.wav`
These two files have the same sample rate and are usable for correlation
analysis. Two graphs will be created for each of those two files showing the
signal before and after downsampling.
### Step 3
Perform the correlation analysis on the two file that resulted from the last
step. You can do so by doing:
`$ python analysis.py ./results/test_original_downsampled_to_8192.wav
./results/test_delayed_downsampled_to_8192.wav`
The command should be a single continuous line (it's been split in the example
to facilitate reading it.
This command will create a graph that shows the correlation analysis (it will be
stored in the "results" directory and will print the correlation data to the
terminal.
---
> "We are the people we have been waiting for."