Free Spoken Digit Dataset (FSDD)

Visualization of the Spoken MNIST Dataset on the Activeloop Platform
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 wav files at 8kHz. The dataset recordings have been trimmed at beginnings and end so that they have near minimal silence. This dataset contains 50 recordings for each 10 digits per each 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 open-source package Hub with just one line of code.
Load Spoken MNIST Dataset in Python
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import hub
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ds = hub.load("hub://activeloop/spoken_mnist")
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Spoken MNIST Dataset Structure
Spoken MNIST Data Fields
audio: tensor containing audio recordings 
labels: tensor containing label 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 Spoken MNIST dataset with PyTorch in Python
Let's use Hub's built-in PyTorch one-line dataloader to connect the data to the compute:
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dataloader = ds.pytorch(num_workers=0, batch_size=4, shuffle=False)
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Train a model on Spoken MNIST dataset with TensorFlow in Python
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dataloader = ds.tensorflow()
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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
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@misc{jackson2018jakobovski,
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  title={Jakobovski/free-spoken-digit-dataset: v1. 0.8},
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  author={Jackson, Zohar and Souza, C{\'e}sar and Flaks, Jason and Pan, Yuxin and Nicolas, Hereman and Thite, Adhish},
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  year={2018},
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  publisher={Zenodo}
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}
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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)

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not-MNIST Dataset

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Contents

Free Spoken Digit Dataset dataset

What is Free Spoken Digit Dataset?

Download Spoken MNIST Dataset in Python

Load Spoken MNIST Dataset in Python

Spoken MNIST Dataset Structure

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

Additional Information about Spoken MNIST Dataset

Spoken MNIST Dataset Description

Free Spoken Digit Dataset FAQs