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

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.

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)[source]

Initialize a structure agreement transformer


__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.
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.