Update README.md

README.md

@@ -1,30 +1,45 @@
----
-license: cc-by-4.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-dataset_info:
-  features:
-  - name: speaker_id
-    dtype: int64
-  - name: path
-    dtype: audio
-  - name: duration
-    dtype: float64
-  - name: accent
-    dtype: string
-  - name: emotion
-    dtype: string
-  - name: emotion_id
-    dtype: int64
-  - name: gender
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 373345852.08
-    num_examples: 5280
-  download_size: 366955512
-  dataset_size: 373345852.08
----
+---
+license: cc-by-4.0
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+dataset_info:
+  features:
+  - name: speaker_id
+    dtype: int64
+  - name: path
+    dtype: audio
+  - name: duration
+    dtype: float64
+  - name: accent
+    dtype: string
+  - name: emotion
+    dtype: string
+  - name: emotion_id
+    dtype: int64
+  - name: gender
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 373345852.08
+    num_examples: 5280
+  download_size: 366955512
+  dataset_size: 373345852.08
+---
+This dataset is part of a conference paper accepted to IEEE ICASSP 2024: [paper](https://ieeexplore.ieee.org/document/10448373).  
+Please cite as:
+```
+@INPROCEEDINGS{10448373,
+  author={Thanh, Pham Viet and Huyen, Ngo Thi Thu and Quan, Pham Ngoc and Trang, Nguyen Thi Thu},
+  booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
+  title={A Robust Pitch-Fusion Model for Speech Emotion Recognition in Tonal Languages}, 
+  year={2024},
+  volume={},
+  number={},
+  pages={12386-12390},
+  keywords={Emotion recognition;Video on demand;Pipelines;Speech recognition;Speech enhancement;Signal processing;Reliability engineering;Speech emotion recognition;vocal pitch;Vietnamese dataset;tonal languages},
+  doi={10.1109/ICASSP48485.2024.10448373}}
+
+```