Update README.md

README.md

@@ -31,7 +31,7 @@ Authors: Shahin Amiriparian, Filip Packań, Maurice Gerczuk, Björn W. Schuller
 Fine-tuned and backbone extended [**HuBERT Large**](https://huggingface.co/facebook/hubert-large-ls960-ft) on EmoSet++, comprising 37 datasets, totaling 150,907 samples and spanning a cumulative duration of 119.5 hours.
 The model is expecting a 3 second long raw waveform resampled to 16 kHz. The original 6 Ouput classes are combinations of low/high arousal and negative/neutral/positive
 valence.
-Further details are available in the corresponding [**paper**](https://arxiv.org/pdf/2406.10275).
+Further details are available in the corresponding [**paper**](https://www.isca-archive.org/interspeech_2024/amiriparian24_interspeech.pdf).
 
 ### EmoSet++ subsets used for fine-tuning the model:
 
@@ -221,17 +221,13 @@ ExHuBERT has been accepted for presentation at INTERSPEECH 2024.
 <!--
 
 ```
-@inproceedings{Amiriparian24-EEH,
-  author = {Shahin Amiriparian and Filip Packan and Maurice Gerczuk and Bj\"orn W.\ Schuller},
-  title = {{ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets}},
-  booktitle = {{Proc. INTERSPEECH}}, 
-  year = {2024},
-  editor = {},
-  volume = {},
-  series = {},
-  address = {Kos Island, Greece},
-  month = {September},
-  publisher = {ISCA},
+@inproceedings{amiriparian24_interspeech,
+  title     = {ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets},
+  author    = {Shahin Amiriparian and Filip Packań and Maurice Gerczuk and Björn W. Schuller},
+  year      = {2024},
+  booktitle = {Interspeech 2024},
+  pages     = {2635--2639},
+  doi       = {10.21437/Interspeech.2024-280},
 }
 ```
 -->