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1
Intro
2
Torchaudio transformations
3
Instantiating MelSpectrogram
4
Extracting Mel spectrograms in UrbanSoundDataset
5
Resample and mix down in getitem
6
Resampling signal
7
Mixing down signal to mono
8
Getitem recap
9
Running the script to extract mel spectrogram
10
Outro
Description:
Explore the process of extracting Mel spectrograms and resampling audio using PyTorch and torchaudio in this comprehensive 23-minute tutorial. Dive into the most common torchaudio transforms and learn how to apply them effectively. Follow along as the instructor demonstrates instantiating MelSpectrogram, extracting Mel spectrograms from the UrbanSoundDataset, and implementing resampling and mixing down techniques in the getitem method. Gain practical insights into resampling signals, converting audio to mono, and running scripts to extract Mel spectrograms. Access the accompanying code on GitHub to enhance your understanding and practice the concepts covered in this informative video.

Extracting Mel Spectrograms with Pytorch and Torchaudio

Valerio Velardo - The Sound of AI
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