Abstract: A system and method for identifying key notes from voice input, generating color representations and cymatic shape representations. The system includes an electronic device with a computational engine implemented using Python code. The method involves processing an audio file containing voice input, to identify the key notes that prevail across noted sentiments and converting the key notes into their representative frequencies. The resulting frequencies are further processed to generate representative colors, and representative cymatic shapes. Together, these generated representations serve as foundational design elements referred to as Brand Standards, for the purposes of branding, promotion, and trademarking.

Abstract: A system and method for identifying key notes from voice input, generating color representations and cymatic shape representations. The system includes an electronic device with a computational engine implemented using Python code. The method involves processing an audio file containing voice input, to identify the key notes that prevail across noted sentiments and converting the key notes into their representative frequencies. The resulting frequencies are further processed to generate representative colors, and representative cymatic shapes. Together, these generated representations serve as foundational design elements referred to as Brand Standards, for the purposes of branding, promotion, and trademarking.

Abstract: A system and method for generating mathematical representations of a musical composition, identifying the degree of similarity based on the sum of the musical compositional distinct components, and establishing a compositional lineage. The system includes an electronic device with a Fast Fourier Transform (FFT) engine implemented using Python code. The method involves processing a musical composition and its corresponding stems to convert them into unique mathematical representations using FFTs. The resulting mathematical representations serve various purposes such as verifying the inclusion of stems within the master composition, identifying the existence of stems within sample compositions, and quantifying the degree of similarity between identified stems.