class pumpp.task.DynamicLabelTransformer(name, namespace, labels=None, sr=22050, hop_length=512)[source]

Time-series label transformer.


name (str) The name of this transformer object
namespace (str) The JAMS namespace for this task
labels (list of str [optional]) The list of labels for this task. If not provided, it will attempt to infer the label set from the namespace definition.
sr (number > 0) The audio sampling rate
hop_length (int > 0) The hop length for annotation frames
__init__(name, namespace, labels=None, sr=22050, hop_length=512)[source]


__init__(name, namespace[, labels, sr, ...])
decode_events(encoded) Decode labeled events into (time, value) pairs
decode_intervals(encoded[, duration, multi]) Decode labeled intervals into (start, end, value) triples
empty(duration) Empty label annotations.
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(encoded[, duration]) Inverse transformation
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) Transform an annotation to dynamic label encoding.