pumpp.task.ChordTagTransformer

class pumpp.task.ChordTagTransformer(name='chord', vocab='3567s', sr=22050, hop_length=512, sparse=False)

Chord transformer that uses a tag-space encoding for chord labels.

See also

ChordTransformer, SimpleChordTransformer

Attributes:

name : str

name of the transformer

vocab : str

A string of chord quality indicators to include:

• ‘3’: maj/min
• ‘5’: ‘3’ + aug/dim
• ‘6’: ‘3’ + ‘5’ + maj6/min6
• ‘7’: ‘3’ + ‘5’ + ‘6’ + 7/min7/maj7/dim7/hdim7/minmaj7
• ‘s’: sus2/sus4

Note: 5 requires 3, 6 requires 5, 7 requires 6.

sr : number > 0

Sampling rate of audio

hop_length : int > 0

Hop length for annotation frames

__init__(name='chord', vocab='3567s', sr=22050, hop_length=512, sparse=False)

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

Methods

__init__([name, vocab, sr, hop_length, sparse])	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)	Empty chord 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.
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
simplify(chord)	Simplify a chord string down to the vocabulary space
transform(jam[, query])	Transform jam object to make data for this task
transform_annotation(ann, duration)	Transform an annotation to chord-tag encoding
vocabulary()