Differences with torchaudio.datasets.SPEECHCOMMANDS

torchaudio.datasets.SPEECHCOMMANDS

class torchaudio.datasets.SPEECHCOMMANDS(
    root: str,
    url: str = 'speech_commands_v0.02',
    folder_in_archive: str = 'SpeechCommands',
    download: bool = False,
    subset: str = None)

For more information, see torchaudio.datasets.SPEECHCOMMANDS.

mindspore.dataset.SpeechCommandsDataset

class mindspore.dataset.SpeechCommandsDataset(
    dataset_dir,
    usage=None,
    num_samples=None,
    num_parallel_workers=None,
    shuffle=None,
    sampler=None,
    num_shards=None,
    shard_id=None,
    cache=None)

For more information, see mindspore.dataset.SpeechCommandsDataset.

Differences

PyTorch: Read the SpeechCommands dataset.

MindSpore: Read the SpeechCommands dataset. Download dataset from web is not supported.

Categories	Subcategories	PyTorch	MindSpore	Difference
Parameter	Parameter1	root	dataset_dir	-
	Parameter2	url	-	Not supported by MindSpore
	Parameter3	folder_in_archive	-	Not supported by MindSpore
	Parameter4	download	-	Not supported by MindSpore
	Parameter5	subset	usage	-
	Parameter6	-	num_samples	The number of images to be included in the dataset
	Parameter7	-	num_parallel_workers	Number of worker threads to read the data
	Parameter8	-	shuffle	Whether to perform shuffle on the dataset
	Parameter9	-	sampler	Object used to choose samples from the dataset
	Parameter10	-	num_shards	Number of shards that the dataset will be divided into
	Parameter11	-	shard_id	The shard ID within num_shards
	Parameter12	-	cache	Use tensor caching service to speed up dataset processing

Code Example

# PyTorch
import torchaudio.datasets as datasets
from torch.utils.data import DataLoader

root = "/path/to/dataset_directory/"
dataset = datasets.SPEECHCOMMANDS(root, url='speech_commands_v0.02')
dataloader = DataLoader(dataset)

# MindSpore
import mindspore.dataset as ds

# Download SpeechCommands dataset files, unzip into the following structure
# .
# └── /path/to/dataset_directory/
#      ├── cat
#           ├── b433eff_nohash_0.wav
#           ├── 5a33edf_nohash_1.wav
#           └──....
#      ├── dog
#           ├── b433w2w_nohash_0.wav
#           └──....
#      ├── four
#      └── ....
root = "/path/to/dataset_directory/"
ms_dataloader = ds.SpeechCommandsDataset(root, usage='all')