Research Existing Algorithms

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Beat Grid Generation: A beat grid is often created for each song to facilitate accurate beat matching. The beat grid divides the track into equal segments, typically representing each beat. Data scientists and software engineers can use techniques like onset detection, rhythm analysis, or machine learning algorithms to automatically generate beat grids.

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Onset Detection: Onset detection is the process of identifying the points in a track where significant changes in the audio occur, such as the start of a beat or a note. Onset detection algorithms can be used to detect the onsets in each track and align them to achieve beat matching. There are various onset detection algorithms available, such as the energy-based method, the phase-based method, and the spectral-based method

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Rhythm Analysis: Rhythm analysis involves analyzing the rhythmic patterns and structures in a track. By analyzing the rhythmic elements, such as the kick drum or snare drum, DJs can identify the beats and align them between two tracks. Rhythm analysis algorithms can use techniques like autocorrelation, Fourier analysis, or wavelet analysis to extract rhythmic information from the audio signal