Carnatic Notes Predictor for audio files

Carnatic Notes Predictor for audio files

Link for live application:

https://share.streamlit.io/pradeepak1/carnatic-notes-predictor-for-audio-files/main/main.py

Description:

• This is a python based application which enables its users to get the carnatic notes for the tunes they upload or record.

• This application is built with Streamlit and the technique behind the working is neural networks

• The base code for execution can be executed in anaconda navigator (Jupyter Lab Terminal) after synchronizing with the dataset

• Install the requirements and in the terminal type the command:

streamlit run main.py

Attached Files:

• Dataset

• Abstract

• Demo video

• Source files

• Presentation

• Examples - Examples 1 and 2 for carnatic tunes - Example 3 is for western tunes

Note: Since notes2 has larger size of dataset it may lag or take a longer time based on the system RAM for execution, thus for demonstration or verification purposes notes1 can be kept as root directory for dataset

Tech Stack

• Python
• Anaconda navigator
• Audio Segmentation
• Audio Processing
• Machine Learning
• Neural Networks

Installation Refer - requirements.txt