Comments (1)
Hi!
Thanks for your feedback! So, for example downloading lyrics and taking them into account? You could certainly do something like that. I suppose I am more into instrumental music so I haven't thought of doing it :-). I think there are many ways to improve it. I since downloaded the million playlist dataset from Spotify which was not available at the time I did this project (or I was not aware of it when it was). Also, I think "triplet loss" could be a good way to teach the model to discriminate more. It would also be great to build a pipeline that keeps updating it based on new music. As it stands, the music catalogue it has is from October 2018.
I am currently interested in generative models and there I think the combination of text + music could be really powerful. So, like DALL-E 2, train with music + descriptions (there are websites with royalty free music that have detailed descriptions).
Exciting times!
from deej-ai.
Related Issues (20)
- Is there a way to link a Spotify account with this? HOT 1
- Mp3ToVec Skips my MP3s HOT 2
- Unable to run MP3ToVec.py HOT 3
- Unable to install requirements on Windows HOT 1
- Getting ValueError: Unknown loss function: cosine_proximity. Please ensure this object is passed to the `custom_objects` argument. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details. when trying to run HOT 3
- Suggestion for data source: lastfm or listenbrainz HOT 1
- m3u playlist generation: KeyError: 'file.mp3' HOT 1
- Add separate requirement file for MacOS (M1/M2) HOT 1
- python version HOT 1
- No module named 'audiodiffusion.audio_encoder'; 'audiodiffusion' is not a package HOT 4
- suggestion: skip broken files HOT 1
- KeyError generating mp3 mix or playlist HOT 5
- Analyzing local music? HOT 5
- for some reason spotify breaks the tracks scraping after 4900~, it ip banned me. HOT 3
- Developer terms restrictions? HOT 2
- wrong m3u after second scan of a library HOT 3
- Unable to adjust sliders with a screenreader. HOT 1
- Skips all MP3s HOT 1
- Please add FLAC support HOT 2
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