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README.md

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 # MAGNeT - Small - 300M - 30secs
 
-MAGNeT is a text-to-music model capable of generating high-quality music samples conditioned on text descriptions.
+MAGNeT is a text-to-music and text-to-sound model capable of generating high-quality audio samples conditioned on text descriptions.
 It is a masked generative non-autoregressive Transformer trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz. 
 Unlike prior work, MAGNeT doesn't require neither semantic token conditioning nor model cascading, and it generates all 4 codebooks using a single non-autoregressive Transformer.