pumpp.task.StructureTransformer

class pumpp.task.StructureTransformer(name='structure', sr=22050, hop_length=512)

Structure agreement transformer.

This transformer maps a labeled, flat structural segmentation to an n*n boolean matrix indicating whether two frames belong to a similarly labeled segment or not.

Attributes:

name : str

The name of this transformer

sr : number > 0

The audio sampling rate

hop_length : int > 0

The number of samples between each annotation frame

__init__(name='structure', sr=22050, hop_length=512)

Initialize a structure agreement transformer

Methods

__init__([name, sr, hop_length])	Initialize a structure agreement transformer
decode_events(encoded[, transition, …])	Decode labeled events into (time, value) pairs
decode_intervals(encoded[, duration, multi, …])	Decode labeled intervals into (start, end, value) triples
empty(duration)	Create an empty jams.Annotation for this task.
encode_events(duration, events, values[, dtype])	Encode labeled events as a time-series matrix.
encode_intervals(duration, intervals, values)	Encode labeled intervals as a time-series matrix.
inverse(agree[, duration])
merge(data)	Merge an array of output dictionaries into a single dictionary with properly scoped names.
pop(field)
register(field, shape, dtype)	Register a field as a tensor with specified shape and type.
scope(key)	Apply the name scope to a key
transform(jam[, query])	Transform jam object to make data for this task
transform_annotation(ann, duration)	Apply the structure agreement transformation.