In Machine Learning, there is a huge emphasis in Natural Language Processing and Visual Processing but where does audio lie. We are at the beginning of a new wave of innovation in audio and music data processing. Sounds are created with waves of pressure in air. We read this data with numbers over intervals of time in a given period. Differences in air pressure communicates differentiation and discernment of sounds as vibrations in our ears. These signals become electrical impulses that is then sent to our brains. We track audio in intervals of sampling and have even taken it a step further in fields such as sound design and audio manipulation where we use techniques with computer algorithms to produce sounds that we favor. Audio files are generally stored in the following formats: .mp3, .wav, and .m4a format. and need to be digitized
As an international music artist with unique styles of music uploaded across the web, I spend time thinking about my music’s style, the state of the world, storytelling, and what would translate best to people’s emotions. For most artists, these thoughts are dependent on the steadily rising cost of music production, marketing, and other roles necessary for a song’s creation to roll out. There are more people making music now than ever before so I would like to help them, as well as myself achieve results. What better way to show love to my extended family of talented brothers and sisters in music than by offering more clarity to the everchanging world of modern music.
Link to my music here
In the following posts for this series, I will share my thoughts on music, the state of music creators, and what I found from analyzing Billboard’s weekly Hot 100 charts for 2020.