Beat Analysis

onset_detection(y: npt.ArrayLike, sr: int, write_to_wav: bool = False)	To show onsets of the input signal with time axis and modify the .wav with onset click sounds
plot_onset_strength(y: npt.ArrayLike, sr:int, standard: bool = True, custom_mel: bool = False, cqt: bool = False)	To plot the onset strength of the input signal with time-axis
beat_tracking(y: npt.ArrayLike, sr:int, write_to_wav: bool = True, hop_length: int = 512)	To show beat of the input signal with time axis and modify the .wav with beat click sounds
predominant_local_pulses(y: npt.ArrayLike, sr:int)	To plot the predominant local pulses of the input signal with time-axis
static_tempo_estimation(y: npt.ArrayLike, sr: int, hop_length: int = 512)	To visualize the result of static tempo estimation
plot_tempogram(y: npt.ArrayLike, sr: int, type: str = 'autocorr', hop_length: int = 512)	To visualize the result of dynamic tempo estimation