vak.prep.unit_dataset.unit_dataset.Segment#

class vak.prep.unit_dataset.unit_dataset.Segment(data: ndarray[Any, dtype[_ScalarType_co]], samplerate: int, onset_s: float, offset_s: float, label: str, sample_dur: float, segment_dur: float, audio_path: str, annot_path: str)[source]#

Bases: object

Dataclass that represents a segment from segmented audio or spectrogram.

The attributes are metadata used to track the origin of this segment in a dataset of such segments.

The dataset including metadata is saved as a csv file where these attributes become the columns.

__init__(data: ndarray[Any, dtype[_ScalarType_co]], samplerate: int, onset_s: float, offset_s: float, label: str, sample_dur: float, segment_dur: float, audio_path: str, annot_path: str) → None#: Method generated by attrs for class Segment.

Methods

__init__(data, samplerate, onset_s, ...)

Method generated by attrs for class Segment.

Attributes

`data`
`samplerate`
`onset_s`
`offset_s`
`label`
`sample_dur`
`segment_dur`
`audio_path`
`annot_path`