Common Voice Spontaneous Speech 2.0 - Heng Hua
License:
CC0-1.0
Steward:
Common Voice
Task: ASR
Release Date: 12/5/2025
Format: MP3
Size: 217.12 MB
Description
A collection of spontaneous spoken phrases in Heng Hua.
Specifics
Considerations
Forbidden Usage
It is forbidden to attempt to determine the identity of speakers in the common Voice datasets. It is forbidden to re-host or re-share this dataset
Processes
Intended Use
This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.
Metadata
Heng Hua — Heng Hua (cpx)
This datasheet has been generated automatically, we would love to include more information, if you would like to help out, get in touch!
This datasheet is for version 2.0 of the the Mozilla Common Voice Spontaneous Speech dataset
for Heng Hua (cpx). The dataset contains 2007 clips representing 11 hours of recorded
speech (1 hours validated) from 29 speakers.
Data splits for modelling
| Split | Count |
|---|---|
| Train | 1415 |
| Test | 310 |
| Dev | 294 |
Transcriptions
Prompts:
119Duration:
10:41:59 [h:m:s]Avg. Transcription Len:
63Avg. Duration:
19.19[s]Valid Duration:
138.96[s]Total hours:
10.7[h]Valid hours:
0.04[h]
Samples
Questions
There follows a randomly selected sample of questions used in the corpus.
在你的社區中,誰來照顧懷孕的婦女?
你如何照顧自己的身體和健康?
你喜歡什麼樣的藝術?
描述你最後一次看到的動物。
你的家庭是否有嚴格的預算規劃?
Responses
There follows a randomly selected sample of transcribed responses from the corpus.
在我当今社,社区内[um]看每个[um]大肚子的女孩哈都是自顾自,只是讲她们自去看,定,定得时间去那个诊,clinic内去看啦。
照顾自健康就是得多,多做运动咯。吃有会营养的东西咯。晚头里得早睡,不可拖到过头晚睡 then起早头早起来咯。早起头起来得水吃多多,吃加一点,因为一晚上没吃水,应该得补充水份。
我非常欢喜做这布,做那个被啊,这样接一片一片,嘞留给孙,留给儿摊盖,有能力的剪花花的,有能力的剪四角四角的。
狗
[um]咱家嘞也没有很呀[um]讲究咯。是讲你用钱大的不可随便花咯。小的钱花一点一点你suka怎么花就用咯。
Fields
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id- hashed UUID of a given useraudio_id- numeric id for audio fileaudio_file- audio file nameduration_ms- duration of audio in millisecondsprompt_id- numeric id for promptprompt- question for usertranscription- transcription of the audio responsevotes- number of people that who approved a given transcriptage- age of the speaker1gender- gender of the speaker1language- language namesplit- for data modelling, which subset of the data does this clip pertain tochar_per_sec- how many characters of transcription per second of audioquality_tags- some automated assessment of the transcription--audio pair, separated by|transcription-length- character per second under 3 characters per secondspeech-rate- characters per second over 30 characters per secondshort-audio- audio length under 2 secondslong-audio- audio length over 30 seconds
Get involved!
Community links
Contribute
Acknowledgements
Funding
This dataset was partially funded by the Open Multilingual Speech Fund managed by Mozilla Common Voice.
Licence
This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.
Footnotes
For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2
