ElevenLabs Music's algorithms are designed to integrate deep learning and music theory models to enable seamless integration of musical elements across genres and cultures. The system's built-in neural network can parse complex cues such as 'fusing 80's synthesizers with classical strings', understand the characteristic representations of different musical styles, and rationally reconstruct the acoustic relationships between musical elements. This capability comes from the multi-dimensional analysis of massive music data, including the learning of features such as harmonic direction, rhythmic pattern, and timbre spectrum. Tests show that the system can successfully integrate unconventional combinations such as 'jazz chord progressions + electronic dance rhythms + ethnic instrument timbres', which is innovative and far beyond the boundaries of traditional sampling and splicing techniques.
This answer comes from the articleElevenLabs Music: a creative tool for generating AI music from textThe
