muzic
word2wave
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| muzic | word2wave | |
|---|---|---|
| 7 | 1 | |
| 4,194 | 116 | |
| 3.5% | - | |
| 7.2 | 0.0 | |
| 29 days ago | over 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
muzic
- DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling
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[R] GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework
We open our code and checkpoint here: muzic/getmusic at main · microsoft/muzic (github.com)
- I trained an AI to write Pokémon music
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[R] Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
Code: https://github.com/microsoft/muzic
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What do you think the future of pop music will look like?
There's a lot of research right now into music generation (example) that could potentially lead to songs completely written, performed, and produced by software. While I don't think those will be topping the charts, the same tech could definitely be used by humans to generate and expand on ideas, and the success of things like Twitter bots powered by GPT-3 makes me think there could be a niche for botpop. On the extreme end, imagine a service like Pandora, except it generates brand new songs tailored to your preferences.
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[Research][Project] Muzic, an open-source research project on AI music, by researchers from Microsoft Research Asia
Muzic (https://github.com/microsoft/muzic) is a research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence. Muzic was started by some researchers from Microsoft Research Asia.
We initially release the code of 5 research work: MusicBERT, PDAugment, DeepRapper, SongMASS, and TeleMelody. We will release the code of more research work in the future.
word2wave
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Error with pip install -r requirements.txt
I'm following the setup on https://github.com/ilaria-manco/word2wave but when I enter the command: pip install -r requirements.txt
What are some alternatives?
gensound - Pythonic audio processing and generation framework
ai-text-to-audio-latent-diffusion - text-to-audio-latent-diffusion
librosa - Python library for audio and music analysis
soundstorm - Soundstorm is a cutting-edge AI-powered audio manipulation application designed to provide a rich yet simplified experience for sound designers, algorithmic composers, and experimental audio enthusiasts. From sample pack creation and algorithmic composition to AI text-to-audio and onscreen ChatGPT, Soundstorm is a sonic powerhouse.
beets - music library manager and MusicBrainz tagger
soundstorm-pytorch - Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
deepNOID - deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED
dodecaphony - Algorithmic composition of twelve-tone fragments.
pys60-mcs - Music Composition System for S60 Symbian
nuwa-pytorch - Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
abjad - Abjad is a Python API for building LilyPond files. Use Abjad to make PDFs of music notation.
tango - A family of diffusion models for text-to-audio generation.