Commit
•
dc41f51
1
Parent(s):
7235210
fix typos
Browse files
README.md
CHANGED
@@ -7,8 +7,8 @@ license: cc-by-nc-4.0
|
|
7 |
# MusicGen - Small - 300M
|
8 |
|
9 |
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
|
10 |
-
It is
|
11 |
-
Unlike existing methods, like MusicLM, MusicGen doesn't
|
12 |
By introducing a small delay between the codebooks, we show we can predict them in parallel, thus having only 50 auto-regressive steps per second of audio.
|
13 |
|
14 |
MusicGen was published in [Simple and Controllable Music Generation](https://arxiv.org/abs/2306.05284) by *Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez*.
|
|
|
7 |
# MusicGen - Small - 300M
|
8 |
|
9 |
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
|
10 |
+
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
|
11 |
+
Unlike existing methods, like MusicLM, MusicGen doesn't require a self-supervised semantic representation, and it generates all 4 codebooks in one pass.
|
12 |
By introducing a small delay between the codebooks, we show we can predict them in parallel, thus having only 50 auto-regressive steps per second of audio.
|
13 |
|
14 |
MusicGen was published in [Simple and Controllable Music Generation](https://arxiv.org/abs/2306.05284) by *Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre Défossez*.
|