process

audioclass.batch.process

Module for batch processing audio data with classification models.

Functions:

Name	Description
process_iterable	Process an iterable of audio data using a models process_array method.

Attributes

Classes

Functions

process_iterable(process_array, iterable, tags, name, confidence_threshold=DEFAULT_THRESHOLD)

Process an iterable of audio data using a models process_array method.

This function iterates over batches of audio clips, processes each clip using the provided process_array function, and returns a list of ClipPrediction objects. The process_array function should take a numpy array of audio data and return a tuple of class probabilities and extracted features.

Parameters:

Name	Type	Description	Default
process_array	Callable[[ndarray], Tuple[ndarray, ndarray]]	A function that takes a numpy array of audio data and returns a tuple of class probabilities and extracted features.	required
iterable	BaseIterator	An iterator that yields batches of audio clips.	required
tags	List[Tag]	A list of tags that the model can predict.	required
name	str	The name of the model.	required
confidence_threshold	float	The minimum confidence threshold for a tag to be included in a prediction. Defaults to DEFAULT_THRESHOLD.	DEFAULT_THRESHOLD

Returns:

Type	Description
List[ClipPrediction]	A list of ClipPrediction objects, one for each audio clip.