metadata
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.
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}}