Here is a spectrogram of the track, "Look" from the album, "Songs about my Cats" by Venetian Snares.<p><a href="https://imgur.com/sRe6Ypv" rel="nofollow">https://imgur.com/sRe6Ypv</a><p>Aphex twin did something similar, but this is more playful in my opinion.
Author here. This is a basic spectrogram visualizer that's mobile friendly. It allows to select regions on the spectrogram and play them separately. There is no grand plan behind this web app: it's just a handy basic tool to capture sounds on your phone and see what they look like.
When I read about ultrasonic cross-device trackers in advertising [1], I installed "org.woheller69.audio_analyzer_for_android" and "hans.b.skewy1_0" (automatic ultrasonic detection) and started scanning through TV channels after running some test tones. Suffice to say I didn't find any, but the entire process was quite fun. There's also "org.billthefarmer.scope" which is an oscilloscope with a spectrum (not spectrogram).<p>1. <a href="https://arstechnica.com/tech-policy/2015/11/beware-of-ads-that-use-inaudible-sound-to-link-your-phone-tv-tablet-and-pc/" rel="nofollow">https://arstechnica.com/tech-policy/2015/11/beware-of-ads-th...</a>
Web apps like this that accesses user's data should provide samples for users to experiment and explore before they have to give access to their actual data.
Brilliant work - I "get" how this works, I've just spent about half-an-hour playing with this (Chrome browser on my kitchen ChromeBook), singing into it and letting it "listen" to the ambient background noise here (old cooker clock ticking, fridge compressor rumbling occasionally). Useful, educational, and fun also - thanks for publishing/hosting this so others can enjoy it!
Very nice app.<p>I usually use Audacity to inspect the spectrogram of FLAC files and see if they really are 44100Hz or if someone packaged a constant rate 320kbps mp3 encode into a FLAC file.<p>Now I can just check it in my browser :D
Simple, straight to the point, and super useful.<p>One place I used these was on a toy AI assistant. I recorded myself saying a trigger word thousands of times, cut the audio in pieces and converted each to a spectrogram image. I then feed those to a training model to help recognize the trigger word.<p>Before the spectrogram, i was feeding the wav file directly, it was incredibly intensive on my laptop. But the image files were easier to process in real time. This tool can be used for debugging.
Izotope, associated with MIT researchers, makes arguably the best such tool for the pro audio industry. Their RX suite is truly miraculous, allowing audio engineers to visualize frequencies in a similar manner, but also offering brush-like tools to do things such as "deleting a dog bark from a guitar take" fairly easily.
Can you recommend any good references to begin understanding the Spectrogram ? I work in DL based Noise cancellation - major part of my work involves analyzing spectrograms - I find it very difficult to do my work without having an ability to critically analyze these images. Any help from anybody ?