dlpy.audio.AudioTable.create_audio_table

classmethod AudioTable.create_audio_table(conn, data_path, metadata_path, features_parameters={'feature_scaling_method': 'STANDARDIZATION', 'frame_length': 25, 'frame_shift': 10, 'n_bins': 40, 'n_ceps': 40, 'n_output_frames': 500}, casout=None, task='speech2text')

Creates an Audio table and takes care of all the necessary steps

Parameters:

conn : CAS

A connection object to the current session.

data_path : string

Path to the file that contains the list of audio files (this is expected to be on the server side).

metadata_path : string

Location to the metadata file (this is expected to be on the client side).

features_parameters : dict, optional

Parameters to be used while extracting audio features

casout : string, dict, or CASTable, optional

Resulting output CAS table

task : string, optional

Specifies the type of the task. Default is speech to text.
Note: currently only support ‘speech2text’ (default)

Returns:

AudioTable

A table containing audio features of audio files as well as their labels. The resulting table can be directly used in the deep learning models.

Raises:

DLPyError

If anything goes wrong at any point in the process of creating this AudioTable, it complains and prints the appropriate message.

Examples

>>> import swat
>>> from dlpy.audio import AudioTable
>>> s=swat.CAS("cloud.example.com", 5570)
>>> aud_table = AudioTable.create_audio_table(s, "/path/to/audio/file.txt", "/metadata/for/audio/file.txt")
>>> aud_table.set_connection(s)