Show HN: I trained an AI model on 120M+ songs from iTunes
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Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#302Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#303Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#304Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#305But of course I tried it with 2 very difficult songs I never could find anything like it: Desert Rose by Sting and Zoolook by Jarre. For Desert Rose it found some similarish things (but of course failed to capture the essence, what makes Desert Rose so unique) but for Zoolook it completely fell apart.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#306 Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote
resource at https://cdn.segment.com/v1/projects/F4GFNelOpRsgUJc6iwTuiXr2t6AH5LCY/settings.
(Reason: CORS request did not succeed). Status code: (null).
NetworkError when attempting to fetch resource -- _app-f73fb5ecceb5fc1e.js:1:82295
PS. It looks like your code has some hard dependency on segment.com and/or panelbear.com tracking services. These are blocked by default by uBlock. Turning uBlock off seems to resolve the issue.Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#307It doesn’t appear to work in Firefox. Looks like CORS is blocking a call to segment.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#308Search doesn't work in a recent Firefox on Windows - typing anything in the search box shows the "Loading..." dropout below it and then nothing happens. This generates no network activity and the console shows: Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at https://cdn.segment.com/v1/projects/F4GFNelOpRsgUJc6iwTuiXr2t6AH5LCY/settings. (Reason: CORS request did not succee…
//Edit: Just read the edit regarding ublock origin. So this website definitely needs a Privacy Policy then.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#309Currently, the website seems down though?
EDIT: the results are ... not what I expected. They are similar in some sense, but I wouldn't consider them "musically" similar. It's like each of the recommendations has something similar, whether the drums, the baseline or the voice. But none of them feel similar in the whole.
It's as if similarity is measured with an L2-norm in a high-dimensional embedding space, instead of cosine similarity? Did you experiment with different scoring metrics in semantic search? I would recommend cosine similarity, if this is an embedding space trained with neural networks, whether with a contrastive loss or with a gaussian prior.
Re: Show HN: I trained an AI model on 120M+ songs from iTunes
#310https://cdn.segment.com/v1/projects/F4GFNelOpRsgUJc6iwTuiXr2...
Error code: SSL_ERROR_RX_RECORD_TOO_LONG