Updated paper abstract(Camera-ready version) (#2)

Author: sweetcocoa

docs/source/en/model_doc/pop2piano.mdx

@@ -18,19 +18,19 @@ The Pop2Piano model was proposed in [Pop2Piano : Pop Audio-based Piano Cover Gen
 
 The abstract from the paper is the following:
 
-*The piano cover of pop music is widely enjoyed by people. How-ever,
-the generation task of the pop piano cover is still understudied.
-This is partly due to the lack of synchronized {Pop, Piano
-Cover} data pairs, which made it challenging to apply the latest
-data-intensive deep learning-based methods. To leverage the power
-of the data-driven approach, we make a large amount of paired and
-synchronized {Pop, Piano Cover} data using an automated
-pipeline. In this paper, we present Pop2Piano, a Transformer net-
-work that generates piano covers given waveforms of pop music. To
-the best of our knowledge, this is the first model to directly generate
-a piano cover from pop audio without melody and chord extraction
-modules. We show that Pop2Piano trained with our dataset can
-generate plausible piano covers.*
+*Piano covers of pop music are enjoyed by many people. However, the
+task of automatically generating piano covers of pop music is still
+understudied. This is partly due to the lack of synchronized
+{Pop, Piano Cover} data pairs, which made it challenging to apply
+the latest data-intensive deep learning-based methods. To leverage
+the power of the data-driven approach, we make a large amount of
+paired and synchronized {Pop, Piano Cover} data using an automated
+pipeline. In this paper, we present Pop2Piano, a Transformer network
+that generates piano covers given waveforms of pop music. To the best
+of our knowledge, this is the first model to generate a piano cover
+directly from pop audio without using melody and chord extraction
+modules. We show that Pop2Piano, trained with our dataset, is capable
+of producing plausible piano covers.*
 
 
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