|
--- |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: dev |
|
path: data/dev-* |
|
- split: test |
|
path: data/test-* |
|
dataset_info: |
|
features: |
|
- name: correct_audio |
|
dtype: |
|
audio: |
|
sampling_rate: 16000 |
|
- name: correct_transcription |
|
dtype: string |
|
- name: correct_file |
|
dtype: string |
|
- name: wrong_audio |
|
dtype: |
|
audio: |
|
sampling_rate: 16000 |
|
- name: wrong_transcription |
|
dtype: string |
|
- name: wrong_file |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 7561544424.98 |
|
num_examples: 23549 |
|
- name: dev |
|
num_bytes: 2665949331.86 |
|
num_examples: 8505 |
|
- name: test |
|
num_bytes: 929488114.48 |
|
num_examples: 3176 |
|
download_size: 10860817060 |
|
dataset_size: 11156981871.32 |
|
license: mit |
|
language: |
|
- zh |
|
- en |
|
--- |
|
|
|
This dataset contains the Mandarin-English track of the benchmark from ICASSP 2024: Zero Resource Code-Switched Speech Benchmark Using Speech Utterance Pairs for Multiple Spoken Languages. |
|
Though the benchmark is originally designed to assess the semantic and syntactic abilities of the speech foundation models, you can also use this dataset for code-switching ASR. |
|
|
|
|
|
If you find this dataset helpful, please consider to cite the following paper: |
|
``` |
|
@INPROCEEDINGS{10446737, |
|
author={Huang, Kuan-Po and Yang, Chih-Kai and Fu, Yu-Kuan and Dunbar, Ewan and Lee, Hung-Yi}, |
|
booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
|
title={Zero Resource Code-Switched Speech Benchmark Using Speech Utterance Pairs for Multiple Spoken Languages}, |
|
year={2024}, |
|
volume={}, |
|
number={}, |
|
pages={10006-10010}, |
|
keywords={Speech coding;Benchmark testing;Signal processing;Linguistics;Acoustics;Speech processing;Task analysis;Code-switch;Multilingual;Discrete unit;Zero resource;Self-supervised}, |
|
doi={10.1109/ICASSP48485.2024.10446737}} |
|
``` |