pumpp.task.BeatTransformer

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

Task transformation for beat tracking

Attributes:
name : str

The name of this transformer

sr : number > 0

The audio sampling rate

hop_length : int > 0

The hop length for annotation frames

__init__(name='beat', sr=22050, hop_length=512)[source]

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([name, sr, hop_length]) Initialize self.
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) 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(encoded[, downbeat, duration]) Inverse transformation for beats and optional downbeats
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 beat transformer