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 2025-12
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Global Rank
205
SimiliarWeb Data
Country Rank
322
US
Monthly Visits
225.0M
15.5%
User Engagement Analysis
Bounce Rate
63.0%
Pages Per Visit
2.33
Avg Visit Duration
1.9m
Traffic Sources Distribution
Search
52.0%
Direct
38.0%
Referrals
9.0%
Social
1.0%
Top Countries
US
20.0%
IN
13.0%
JP
7.0%
KR
4.0%
BR
4.0%
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