Understanding the Mel Spectrogram | by Leland Roberts | Analytics Vidhya | Medium

Analytics Vidhya is a community of Generative AI and Data Science professionals. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com Follow publication Top highlight 1 1 2.3K 29 Listen Share If you are anything like me, trying to understanding the mel spectrogram has not been an easy task. You read an article only to be lead to another… and another… and another… on and on it goes. I hope this short post will clarify some of the confusion and explain the mel spectrogram from the ground up. A signal is a variation in a certain quantity over time. For audio, the quantity that varies is air pressure. How do we capture this information digitally? We can take samples of the air pressure over time. The rate at which we sample the data can vary, but is most commonly 44.1kHz, or 44,100 samples per second. What we have captured is a waveform for the signal, and this can be interpreted, modified, and analyzed with computer software. This is great! We have a digital

Analytics Vidhya is a community of Generative AI and Data Science professionals. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com Follow publication Top highlight 1 1 2.3K 29 Listen Share If you are anything like me, trying to understanding the mel spectrogram has not been an easy task. You read an article only to be lead to another… and another… and another… on and on it goes. I hope this short post will clarify some of the confusion and explain the mel spectrogram from the ground up. A signal is a variation in a certain quantity over time. For audio, the qu