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In this notebook, we aim to recognize speech commands using classification. For this purpose, we used the SPEECHCOMMANDS dataset and the deep convolutional model M5. The code is written in Python and designed for the PyTorch platform.

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Amir-Hofo/Speech_commands_Classification

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description

In this notebook, we aim to recognize speech commands using classification. For this purpose, we used the SPEECHCOMMANDS dataset and the deep convolutional model M5. The code is written in Python and designed for the PyTorch platform. Speech_commands_Classification

packages version

python: 3.9.18

torch: 2.1.0

torchaudio: 2.1.0

torchmetrics: 2.1.0

matplotlib: 3.7.2

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In this notebook, we aim to recognize speech commands using classification. For this purpose, we used the SPEECHCOMMANDS dataset and the deep convolutional model M5. The code is written in Python and designed for the PyTorch platform.

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machine-learning ai deep-learning cnn pytorch artificial-intelligence speech-recognition convolutional-neural-networks speech-to-text audio-classification torchaudio speech-classification

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