Understanding Audio Signals for Machine Learning

Explore the fundamentals of audio digital signals in this 25-minute video tutorial. Discover the distinctions between analog and digital signals, and learn the process of converting analog sound into a digital format suitable for machine learning applications. Delve into key Audio to Digital Conversion concepts, including sampling, quantization, and aliasing. Gain insights into the Nyquist frequency for CDs, memory requirements for audio storage, dynamic range, and signal-to-quantization-noise ratio. Understand the processes involved in recording and reproducing sound, and prepare for future topics in audio signal processing for machine learning.

Intro
Audio signal
Houston we have a problem!
Analog signal
Digital signal
Analog to digital conversion
Sampling period
Locating samples
Why sampling rate = 44100hz?
Nyquist frequency for CD
Aliasing
Memory for 1' of sound
Dynamic range
Signal-to-quantization-noise ratio
How do we record sound?
How do we reproduce sound?
What's up next?
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