Update README.md

README.md

@@ -25,7 +25,7 @@ paperswithcode_id: jam-alt
 
 * **Project page:** https://audioshake.github.io/jam-alt/
 * **Source code:** https://github.com/audioshake/alt-eval
-* **Paper:** https://arxiv.org/abs/2311.13987
+* **Papers:** https://www.arxiv.org/abs/2408.06370, https://arxiv.org/abs/2311.13987
 
 JamALT is a revision of the [JamendoLyrics](https://github.com/f90/jamendolyrics) dataset (80 songs in 4 languages), adapted for use as an automatic lyrics transcription (ALT) benchmark.
 
@@ -84,18 +84,19 @@ dataset = load_dataset("audioshake/jam-alt", revision="v1.0.0", with_audio=False
 
 ## Citation
 
-When using the benchmark, please cite [our paper](https://arxiv.org/abs/2311.13987) as well as the original [JamendoLyrics paper](https://arxiv.org/abs/2306.07744):
+When using the benchmark, please cite [our paper](https://www.arxiv.org/abs/2408.06370) as well as the original [JamendoLyrics paper](https://arxiv.org/abs/2306.07744):
 ```bibtex
-@misc{cifka-2023-jam-alt,
+@misc{cifka-2024-jam-alt,
   author       = {Ond\v{r}ej C\'ifka and
-                  Constantinos Dimitriou and
-                  {Cheng-i} Wang and
                   Hendrik Schreiber and
                   Luke Miner and
                   Fabian-Robert St\"oter},
-  title        = {{Jam-ALT}: A Formatting-Aware Lyrics Transcription Benchmark},
-  eprint       = {arXiv:2311.13987},
-  year         = 2023
+  title        = {Lyrics Transcription for Humans: A Readability-Aware Benchmark},
+  booktitle    = {Proceedings of the 25th International Society for 
+                  Music Information Retrieval Conference},
+  year         = 2024,
+  publisher    = {ISMIR},
+  note         = {to appear; preprint arXiv:2408.06370}
 }
 @inproceedings{durand-2023-contrastive,
   author={Durand, Simon and Stoller, Daniel and Ewert, Sebastian},