Differences with torchaudio.datasets.SPEECHCOMMANDS

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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. Downloading 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')