1- Deep Learning (for Audio) with Python: Course Overview
In this video, I introduce the "Deep Learning (for Audio) with Python" series. I discuss its learning goals, contents and the ...
Types of Audio Features for Machine Learning
Learn how to distinguish among different types of audio features, which are instrumental to build intelligent audio applications.
Mel-Frequency Cepstral Coefficients Explained Easily
MFCCs have traditionally been used in numerous speech and music processing problems. They are a somewhat elusive audio ...
11- Preprocessing audio data for Deep Learning
In this video, I show how to get audio data ready for deep learning applications using Python and an audio analysis library called ...
Short-Time Fourier Transform Explained Easily
The Short-Time Fourier Transform is one of the most important tools an AI audio / music engineer has. It enables them to extract ...
12- Music genre classification: Preparing the dataset
In this video, I preprocess an audio dataset and get it ready for music genre classification. Specifically, I implement code to batch ...
Mel Spectrograms Explained Easily
Mel spectrograms are often the feature of choice to train Deep Learning Audio algorithms. In this video, you can learn what Mel ...
Sound and Waveforms
Learn about the physical properties of sound, how to read waveforms, and understand the concepts of frequency and pitch.
How to Extract Audio Features
Learn what are the necessary steps to extract acoustic features from audio signals, both in the time and frequency domains.
Audio Signal Processing for Machine Learning
In this series, you'll learn how to process audio data and extract relevant audio features for your machine learning applications.
Valerio Velardo
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