Musi$tash AI analyzes an artist’s unique sound using advanced AI technology, comparing it to successful musicians. As the AI grows, it helps identify new talent and guide investors in spotting potential. Designed to empower artists, it refines their style for greater success.
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Read About our AI
Musi$tash’s unique artificial intelligence creates a new way to compare and gauge upcoming musical talent by utilizing distinctive audio features embedded within each artist’s discography. These features are extracted and used in our algorithm, resulting in a Musi$tash Resonance Score that reflects how similar any given artist is to their closest mainstream comparison. Our artificial intelligence aims to give newer artists an edge by providing insight into their music. It enables them to pinpoint the audio elements they can refine to increase their commercial appeal by comparing their unique sound with that of mainstream artists.
Quantifying commercial musical success for the masses
The Dance Index score for any given artist reflects how well their music suits dancing. By analyzing the artist’s top 10 tracks, the Dance Index determines the suitability of their music for dancing based on rhythm, tempo, energy, and other factors.
The Energy score for any given artist is a culmination of various audio features that influence how energetic a track feels. This score is typically determined by factors such as faster tempos, louder music, and the presence of more percussion.
The Speech Density score for any given artist reflects the amount of verbal content in their music. Higher Speech Density values indicate a more lyrical experience with more verbal expression, while lower values suggest a stronger focus on non-verbal elements, meaning the artist’s discography may be more production-focused.
Read About our AI
The Musi$tash Resonance Score reflects how similar an artist is to their closest mainstream counterpart. Our artificial intelligence provides newer artists with an edge by offering insights into their music. The score is derived by analyzing and prioritizing key audio elements within a given genre (e.g., speech density in hip-hop). This value is then mapped against the statistics of mainstream artists, and the resulting score reflects the degree of similarity and resonance between their discographies. This allows artists to refine their unique sound to enhance their commercial appeal by comparing it with that of established artists. It helps them not only differentiate themselves from mainstream music but also align with industry trends that resonate well with listeners.