Preprocessing Song Dataset for Melody Generation
Offered By: Valerio Velardo - The Sound of AI via YouTube
Course Description
Overview
Explore the process of collating encoded songs into a single file and creating a mapping to encode symbolic notation with integers in this tutorial video. Discover how to prepare data for neural network ingestion by learning to create recall functions, load songs, build datasets, and generate mappings. Follow along as the instructor demonstrates running scripts, splitting strings, and saving data in JSON format, providing essential skills for preprocessing song datasets in melody generation projects.
Syllabus
Introduction
Create Recall Function
Create String
Loading Song
Creating Dataset
Running Script
Create Mapping
Split Strings
Save as JSON
Mapping
Taught by
Valerio Velardo - The Sound of AI
Related Courses
Genomic Data Science and Clustering (Bioinformatics V)University of California, San Diego via Coursera 用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera Data Mining Project
University of Illinois at Urbana-Champaign via Coursera Advanced Business Analytics Capstone
University of Colorado Boulder via Coursera Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘:理论与算法
Tsinghua University via edX