Web Reference: Jul 23, 2025 · Audio preprocessing is a critical step in the pipeline of audio data analysis and machine learning applications. It involves a series of techniques applied to raw audio data to enhance its quality, extract meaningful features, and prepare it for further analysis or input into machine learning models. Most of the available pretrained models have been pretrained on audio datasets at a sampling rate of 16 kHz. When we explored MINDS-14 dataset, you may have noticed that it is sampled at 8 kHz, which means we will likely need to upsample it. To do so, use 🤗 Datasets’ cast_column method. Dec 1, 2020 · In this article, we will discuss different ways to represent audio (like Waveform, FFT, STFT, and MFCC), the difference between them, How to turn each into another, and some codes for each ...
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