Isolating Sentiments

To create specific types of music with AI, one technique is to teach the AI how certain music feels to humans. This is done by isolating sentiments in the music. This teaches the AI context so it knows that suspenseful music makes humans feel nervous and prepares us for a scare and happy music makes us feel elated and positive. While there is much research in isolating and mapping these sounds from known songs, it’s far from a pure, single sentiment. Therefore we worked with professional musicians to make the sentiment pure sounds from the vast amounts of music research over the years. Then we defined the time, rhythm, beat, frequencies, etc. as to what that music contains and let them play with the template to make music from it.

We applied the first collection of sentiment research to what we call “morning” and “focus” songs. Morning is designed to increase serotonin uptake in the brain while Focus is woven tapestry of alertness and dopamine restriction. Our next album we tackled a more complex problem, insomnia. This required mixing and timing to produce the right sentiments in a specific order to reduce anxiety, block chatter noises, and promote sleepiness. Further albums will be made with the same meticulous neuro and sound research with careful music production to stay true to the templates.

For the practical aspect of this research our goal is to create music as a tool to help, heal, and support. The problems we identified to initially address were to increase mental focus, increase motivation, improve feelings of calmness, and improve sleep. For example, a large percentage of office workplace mistakes and accidents happen due to distracting sounds, background chatter, and noise pollution. Improving the environmental sounds along with sounds to maintain concentration can alleviate some of this problem. Further research shows there are further practical applications alongside professional providers of pain management, mental wellness, and therapeutic consultation.
Due to constraints on sounds, this music has been adjusted to accommodate for the type of room the music is played in, the quality and frequency range of the speakers, and whether the music would be played in stereo.