Common Voice Spontaneous Speech 1.0 - Pu-Xian Chinese

Locale: cpx

Size: 225.20 MB

Task: ASR

Format: MP3

License: CC-0

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 23.0 of the the Mozilla Common Voice Spontaneous Speech dataset for Heng Hua (cpx). The dataset contains 2012 clips representing 12 hours of recorded speech (1 hours validated) from 29 speakers.

Demographic information

The dataset includes the following distribution of age and gender.

Gender

Self-declared gender information, frequency refers to the number of clips annotated with this gender.

Age

Self-declared age information, frequency refers to the number of clips annotated with this age band.

Data splits for modelling

SplitCount
Train1411
Test316
Dev285

Transcriptions

  • Prompts: 119

  • Duration: 38437308[ms]

  • Avg. Transcription Len: 62

  • Avg. Duration: 19.1[s]

  • Valid Duration: 121.46[s]

  • Total hours: 10.68[h]

  • Valid hours: 0.03[h]

Questions

There follows a randomly selected sample of questions used in the corpus.

你希望能用科技做什麼？
描述一些健康且富有營養的食物。
描述你最喜歡的電影、電視節目或戲劇？
這週你看到了哪些植物或花朵？
你對使用網路銀行有什麼看法？
Responses

There follows a randomly selected sample of transcribed responses from the corpus.

去外，若是有本事能够去外国什么地方觉得较能够看他人国家是怎样的。
[um]走路，步行啊，步行，走久久，有好也有坏啦，若讲你[um][cough]去运动啊,定得有一个时间。走多久就好了，别走过头久，走过头久怕骨头内骨油干去啊，嘞等下脚痛就困苦咯。
我的手机内有几个app 能够呃，藏钱，能够加钱，能够还钱。这次咱们能够用QR code还钱。
跳舞，斗跑，走路
在我们市区里下[um]较多是看到狗啦，猫咪啦，[um]当今[um]狗有狗的病，了有这样的病，了若是咬到得要快点去看医生。[um]这狗病很厉害，了猫咪也有厉害啦。每天这样较多就看到狗，猫咪。

Fields

Each row of a tsv file represents a single audio clip, and contains the following information:

  • client_id - hashed UUID of a given user

  • audio_id - numeric id for audio file

  • audio_file - audio file name

  • duration_ms - duration of audio in milliseconds

  • prompt_id - numeric id for prompt

  • prompt - question for user

  • transcription - transcription of the audio response

  • votes - number of people that who approved a given transcript

  • age - age of the speaker1

  • gender - gender of the speaker1

  • language - language name

  • split - for data modelling, which subset of the data does this clip pertain to

  • char_per_sec - how many characters of transcription per second of audio

  • quality_tags - some automated assessment of the transcription--audio pair, separated by |

    • transcription-length - character per second under 3 characters per second

    • speech-rate - characters per second over 30 characters per second

    • short-audio - audio length under 2 seconds

    • long-audio - audio length over 30 seconds

Community links

Contribute

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

  1. For a full list of age, gender, and accent options, see the demograpics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2