This repo contains all the necessary code and applications to be able to complete the Introduction to AI Machine Learning with Sound course. The instructions are provided on the online course.
Contains the wav files used as test and training samples.
Contains the CSVs for the different types of birds used in this course.
Contains the images used for the Visual Recognition service. This is used in lab 5.
Contains extra code to be used in the labs.
You can use this sample Prediction Flow to craft a node-red application that runs a prediction using input from either the microphone or a file inject
Contains the sound CSVs.
Contains the OSP Service and OSP Converter applications. Details are below.
Performs Signal Processing against a directory of audio files.
This application will work against the audio files in https://www.kaggle.com/mmoreaux/audio-cats-and-dogs csv files have also been generated for the audio files in https://www.kaggle.com/rtatman/british-birdsong-dataset
Download the audio zip from kaggle and unzip to the audio directory. The application is in the src directory To install the prerequisites run
pip install -r requirements.txt
Run the application
python ospconverter.py
The resulting csv file will be in the output folder. The Application produces a simplified table representing an audio spectogram that can be used to create machine learning models to recognize audio sounds.
An enhancement would be to take a digitial signature, eg the top 10 and bottom 10 amplitudes and the frequencies they occur at, producing a table with 41 columns per row. The first row being the class identifier. We leave that as an exercise for our consumers, though we might consider adding it ourselves in the near future.
Provides a web based API to performs Signal Processing
against a single audio file. This application provides a web page on
\/audio which can be used to test the OSP processing.
The application also provides an endpoint \/audio\/nodered suitable
to be used in conjunction with a node-red file upload or microphone node.
Run the application
python ospservice.py
Apache License available in license