Machine Learning Datasets Machine Learning Datasets
  • GitHub
  • Slack
  • Documentation
Get Started
Machine Learning Datasets Machine Learning Datasets
Get Started
Machine Learning Datasets
  • GitHub
  • Slack
  • Documentation

Docy

Machine Learning Datasets

  • Folder icon closed Folder open iconDatasets
    • MNIST
    • ImageNet Dataset
    • COCO Dataset
    • CIFAR 10 Dataset
    • CIFAR 100 Dataset
    • FFHQ Dataset
    • Places205 Dataset
    • GTZAN Genre Dataset
    • GTZAN Music Speech Dataset
    • The Street View House Numbers (SVHN) Dataset
    • Caltech 101 Dataset
    • LibriSpeech Dataset
    • dSprites Dataset
    • PUCPR Dataset
    • RAVDESS Dataset
    • GTSRB Dataset
    • CSSD Dataset
    • ATIS Dataset
    • Free Spoken Digit Dataset (FSDD)
    • not-MNIST Dataset
    • ECSSD Dataset
    • COCO-Text Dataset
    • CoQA Dataset
    • FGNET Dataset
    • ESC-50 Dataset
    • GlaS Dataset
    • UTZappos50k Dataset
    • Pascal VOC 2012 Dataset
    • Pascal VOC 2007 Dataset
    • Omniglot Dataset
    • HMDB51 Dataset
    • Chest X-Ray Image Dataset
    • NIH Chest X-ray Dataset
    • Fashionpedia Dataset
    • DRIVE Dataset
    • Kaggle Cats & Dogs Dataset
    • Lincolnbeet Dataset
    • Sentiment-140 Dataset
    • MURA Dataset
    • LIAR Dataset
    • Stanford Cars Dataset
    • SWAG Dataset
    • HASYv2 Dataset
    • WFLW Dataset
    • Visdrone Dataset
    • 11k Hands Dataset
    • QuAC Dataset
    • LFW Deep Funneled Dataset
    • LFW Funneled Dataset
    • Office-Home Dataset
    • LFW Dataset
    • PlantVillage Dataset
    • Optical Handwritten Digits Dataset
    • UCI Seeds Dataset
    • STN-PLAD Dataset
    • FER2013 Dataset
    • Adience Dataset
    • PPM-100 Dataset
    • CelebA Dataset
    • Fashion MNIST Dataset
    • Google Objectron Dataset
    • CARPK Dataset
    • CACD Dataset
    • Flickr30k Dataset
    • Kuzushiji-Kanji (KKanji) dataset
    • KMNIST
    • EMNIST Dataset
    • USPS Dataset
    • MARS Dataset
    • HICO Classification Dataset
    • NSynth Dataset
    • RESIDE dataset
    • Electricity Dataset
    • DRD Dataset
    • Caltech 256 Dataset
    • AFW Dataset
    • PACS Dataset
    • TIMIT Dataset
    • KTH Actions Dataset
    • WIDER Face Dataset
    • WISDOM Dataset
    • DAISEE Dataset
    • WIDER Dataset
    • LSP Dataset
    • UCF Sports Action Dataset
    • Wiki Art Dataset
    • FIGRIM Dataset
    • ANIMAL (ANIMAL10N) Dataset
    • OPA Dataset
    • DomainNet Dataset
    • HAM10000 Dataset
    • Tiny ImageNet Dataset
    • Speech Commands Dataset
    • 300w Dataset
    • Food 101 Dataset
    • VCTK Dataset
    • LOL Dataset
    • AQUA Dataset
    • LFPW Dataset
    • ARID Video Action dataset
    • NABirds Dataset
    • SQuAD Dataset
    • ICDAR 2013 Dataset
    • Animal Pose Dataset
  • Folder icon closed Folder open iconDeep Lake Docs Home
  • Folder icon closed Folder open iconDataset Visualization
  • API Basics
  • Storage & Credentials
  • Getting Started
  • Tutorials (w Colab)
  • Playbooks
  • Data Layout
  • Folder icon closed Folder open iconShuffling in ds.pytorch()
  • Folder icon closed Folder open iconStorage Synchronization
  • Folder icon closed Folder open iconTensor Relationships
  • Folder icon closed Folder open iconQuickstart
  • Folder icon closed Folder open iconHow to Contribute

Free Spoken Digit Dataset (FSDD)

Estimated reading: 2 minutes

Visualization of the Spoken MNIST Dataset in the Deep Lake UI

Free Spoken Digit Dataset dataset

What is Free Spoken Digit Dataset?

The Free Spoken Digit Dataset, or the Spoken MNIST (Modified National Institute of Standards and Technology database) dataset contains recordings of spoken digits in wave files at 8kHz. The dataset recordings have been trimmed at the beginning and end so that they have near-minimal silence. This dataset contains 50 recordings for every 10 digits per every 6 speakers. This dataset in total contains 3000 recordings in English pronunciations.

Download Spoken MNIST Dataset in Python

Instead of downloading the Spoken MNIST dataset in Python, you can effortlessly load it in Python via our Deep Lake open-source with just one line of code.

Load Spoken MNIST Dataset in Python

				
					import deeplake
ds = deeplake.load("hub://activeloop/spoken_mnist")
				
			

Spoken MNIST Dataset Structure

Spoken MNIST Data Fields
  • audio: tensor containing audio recordings.
  • labels: tensor containing labels for their respective audio.
  • spectrograms: tensor containing spectrogram of their recording.
  • speakers: tensor containing speaker id for audio.

How to use Spoken MNIST Dataset with PyTorch and TensorFlow in Python

Train a model on the Spoken MNIST dataset with PyTorch in Python

Let’s use Deep Lake built-in PyTorch one-line dataloader to connect the data to the compute:

				
					dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)
				
			
Train a model on the Spoken MNIST dataset with TensorFlow in Python
				
					dataloader = ds.tensorflow()
				
			

Additional Information about Spoken MNIST Dataset

Spoken MNIST Dataset Description

  • Homepage: https://zenodo.org/record/1342401.
  • Repository: https://github.com/Jakobovski/free-spoken-digit-dataset.
  • Paper: Jackson, Z., Souza, C., Flaks, J., Pan, Y., Nicolas, H., & Thite, A. (2018). Jakobovski/free-spoken-digit-dataset: v1. 0.8.
Spoken MNIST Dataset Curators
Jackson Z, Souza C, Flaks J, Pan Y, Nicolas H, Thite A
Spoken MNIST Dataset Licensing Information

Creative Commons Attribution-ShareAlike 4.0 International

Spoken MNIST Dataset Citation Information
				
					@misc{jackson2018jakobovski,
  title={Jakobovski/free-spoken-digit-dataset: v1. 0.8},
  author={Jackson, Zohar and Souza, C{\'e}sar and Flaks, Jason and Pan, Yuxin and Nicolas, Hereman and Thite, Adhish},
  year={2018},
  publisher={Zenodo}
}
				
			

Free Spoken Digit Dataset FAQs

What are the main differences between MNIST and Free Spoken Digit dataset?
  • Free Spoken Digit Dataset is meant as an audio substitute for the MNIST dataset.
  • Both Free Spoken Digit Dataset and MNIST datasets have 10 classes: the ten digits (0 to 9) for MNIST, whilst Free Spoken Digit Dataset has the ten digits (50 of each digit per speaker, with a total of 6 speakers)
Datasets - Previous ATIS Dataset Next - Datasets not-MNIST Dataset
Leaf Illustration

© 2022 All Rights Reserved by Snark AI, inc dba Activeloop