bacpipe.core.audio_processor

Classes

AudioHandler(model, padding, audio_dir[, ...])	Helper class for all methods related to loading and padding audio.
Path(*args, **kwargs)	PurePath subclass that can make system calls.

class bacpipe.core.audio_processor.AudioHandler(model, padding, audio_dir, bool_slowdown=False, slowdown_rate=None, **kwargs)

Bases: object

Helper class for all methods related to loading and padding audio.

__init__(model, padding, audio_dir, bool_slowdown=False, slowdown_rate=None, **kwargs)

Helper class for all methods related to loading and padding audio.

Parameters:

• model (Model object) – has attributes for all the model characteristics like sample rate, segment length etc. as well as the methods to run the model

• padding (str) – padding function to use for where padding is necessary

• audio_dir (pathlib.Path object) – path to audio dir

prepare_audio(sample)

Use bacpipe pipeline to load audio file, window it according to model specific window length and preprocess the data, ready for batch inference computation. Also log file length and shape for metadata files.

Parameters:

sample (pathlib.Path or str) – path to audio file

Returns:

audio frames preprocessed with model specific preprocessing

Return type:

torch.Tensor