mltk.datasets.audio.yes_no

Yes/No

This is a synthetically generated dataset with the keywords:

• yes

• no

The samples are 16kHz, 16-bit PCM .wav files.

See also

• AudioDatasetGenerator

• Synthetic Audio Dataset Generation Tutorial

Variables

DOWNLOAD_URL	Public download URL
VERIFY_SHA1	SHA1 hash of the downloaded archive file
CLASSES	The class labels of the dataset samples

Functions

download([dest_dir, dest_subdir, logger, ...])	Download and extract the dataset
generate_dataset([out_dir])	Generate the dataset

DOWNLOAD_URL = 'https://www.dropbox.com/s/83z0pkvtunpw7cy/sl_synthetic_yes_no.7z?dl=1'

Public download URL

VERIFY_SHA1 = 'abf31f3444f17e94b5bded4d4e2a001b5a6cb1b7'

SHA1 hash of the downloaded archive file

CLASSES = ['yes', 'no']

The class labels of the dataset samples

download(dest_dir=None, dest_subdir='datasets/yes_no', logger=None, clean_dest_dir=False)

Download and extract the dataset

Return type:

str

Returns:

The directory path to the extracted dataset

Parameters:

• dest_dir (str) –

• logger (Logger) –

generate_dataset(out_dir=None)

Generate the dataset

This generates the dataset using the AudioDatasetGenerator Python package provided by the MLTK.

Parameters:

out_dir (str) –