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.

Accès: 1.5B
Pays: United States

Analyse des flux

Last Updated 2026-01

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Classement mondial
223
SimiliarWeb Data
Classement des pays
331
US
Monthly Visits
210,1M 6,7%
User Engagement Analysis
Taux De Rebond
63,2%
Nombre De Pages Par Visite
2,39
Durée moyenne des visites
2,0m
Traffic Sources Distribution
Search
50,3%
Direct
40,2%
Referrals
8,6%
Social
0,4%
Payé
0,3%
Mail
0,1%
Top Countries
US
20,6%
IN
10,5%
JP
8,1%
BR
4,2%
DE
3,8%
Top Keywords Analysis
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