Musenet (OpenAI)
MuseNet is a deep neural network created by OpenAI that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles. It uses the same general-purpose unsupervised technology as GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text. The model is trained on data from MIDI files and can generate samples in a chosen style by starting with a prompt. It uses several embeddings such as positional embeddings, a timing embedding, and structural embeddings to give the model more context.
Visits:
1.5B
Country:
United States
Traffic Analysis
Last Updated 2026-01
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Global Rank
223
SimiliarWeb Data
Country Rank
331
US
Monthly Visits
210.1M
6.7%
User Engagement Analysis
Bounce Rate
63.2%
Pages Per Visit
2.39
Avg Visit Duration
2.0m
Traffic Sources Distribution
Search
50.3%
Direct
40.2%
Referrals
8.6%
Social
0.4%
Paid
0.3%
Mail
0.1%
Top Countries
US
20.6%
IN
10.5%
JP
8.1%
BR
4.2%
DE
3.8%
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