---
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}}

```