msaf.features.Tempogram

class msaf.features.Tempogram(file_struct, feat_type, sr=22050, hop_length=1024, win_length=192)

This class contains the implementation of the Tempogram feature.

The Tempogram contains rhythmic content of a given audio signal.

__init__(file_struct, feat_type, sr=22050, hop_length=1024, win_length=192)

Constructor of the class.

Parameters:

file_struct: `msaf.input_output.FileStruct`

Object containing the file paths from where to extract/read the features.

feat_type: `FeatureTypes`

Enum containing the type of features.

sr: int > 0

Sampling rate for the analysis.

hop_length: int > 0

Hop size in frames for the analysis.

win_length: int > 0

The size of the window for the tempogram.

Methods

__init__(file_struct, feat_type[, sr, ...])	Constructor of the class.
compute_HPSS()	Computes harmonic-percussive source separation.
compute_beat_sync_features(beat_frames, ...)	Make the features beat-synchronous.
compute_features()	Actual implementation of the features.
estimate_beats()	Estimates the beats using librosa.
get_id()	Identifier of these features.
get_param_names()	Returns the parameter names for these features, avoiding the global parameters.
read_ann_beats()	Reads the annotated beats if available.
read_features([tol])	Reads the features from a file and stores them in the current object.
select_features(features_id, file_struct, ...)	Selects the features from the given parameters.
write_features()	Saves features to file.

Attributes

features	This getter will compute the actual features if they haven’t been computed yet.
frame_times	This getter returns the frame times, for the corresponding type of features.