Pre-Processing Audio with Different Durations

Pre-Processing Audio with Different Durations

Discover techniques for preprocessing audio data of varying lengths in this informative tutorial. Learn to cut and zero-pad waveforms using PyTorch and torchaudio, with practical code examples provided. Explore the process of setting NUM_SAMPLES, passing it to UrbanSoundDataset, and updating the __getitem__ method. Gain hands-on experience in cutting waveforms and applying right padding. Follow along as the instructor demonstrates how to run scripts to verify padding and cutting operations. Perfect for those looking to enhance their audio processing skills in machine learning applications.