Smart Equalizer - Artificial Neural Networks in Music
Grigoruta Alexandru
coord. Lect. dr. Ignat Anca
Table of Contents
1. Presenting the hypothesis
2. Sound equalization
3. Proposed architecture
4. Results
5. Conclusions
Presenting the hypothesis
Shuffled Playlist
Manual Equalization
Just Enjoy
Automatic Equalization
Photo by Alexey Ruban on Unsplash
Photo by Patrik Michalicka on Unsplash
Photo by Kelvin Lutan on Unsplash
Sound equalization
Sound equalization - Parameters
Cutoff Frequencies
Central Frequency
Bandwidth
Gain
Sound equalization - Types
Shelving Equalizer
Graphic Equalizer
Parametric Equalizer
Implementation steps
1. Research similar papers or applications
2. Research audio signal processing papers
3. Understand current situation and progress in the ASP community
4. Define and design multiple architectures
5. Implement and optimize the most viable architecture
6. Train the architecture on a big dataset
7. Test the agent with different audio files, optimize based on findings
Proposed architecture
Proposed architecture - Genre Detection
Proposed architecture - Automated EQ
