Common Voice Spontaneous Speech 1.0 - Malay (Malaysia)

[Bahasa Malay] — Bahasa Malay (ms-MY)

This datasheet has been created 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 Bahasa Malay (ms-MY). The dataset contains 1144 clips representing 7 hours of recorded speech (6 hours validated) from 22 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

Transcriptions

• Prompts: 119

• Duration: 22271760[ms]

• Avg. Transcription Len: 199

• Avg. Duration: 19.47[s]

• Valid Duration: 20287.04[s]

• Total hours: 6.19[h]

• Valid hours: 5.64[h]

Questions

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

Apakah sebab utama orang dalam komuniti anda berhijrah ke tempat lain?
Bagaimanakah anda menambah nilai, menambah kredit atau membayar untuk telefon bimbit anda
Apakah jenis haiwan peliharaan yang biasa dalam komuniti anda?
Adakah cuaca di negara anda telah mengalami perubahan sepanjang 10 tahun yang lalu?
Apakah jenis dokumen yang anda perlukan untuk membuat perjalanan di dalam negara anda, atau ke negara jiran?

Responses

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

Detik pada hidup saya yang sangat gembira adalah semasa saya mencuba memanjat Gunung Kinabalu. Tetapi malangnya tidak dapat mencapai puncaknya.  Tetapi dapat melihat puncak adalah sangat gembira.
Ya, buat masa ini saya memandu kereta saya, di mana di- saya selalunya akan menaiki kereta dan membawa kereta saya ke pejabat saya tiap-tiap hari dan juga pada hari minggu.
Dalam budaya saya, kebiasaannya waris-waris terdekat seperti anak-anak ataupun adik-beradik yang akan bergilir-gilir menjaga seseorang yang sedang berada di penghujung nyawanya.
Saya sentiasa memanjatkan doa untuk anak-anak saya dan saya- mereka bebas untuk memilih jalan hidup sendiri.
Saya memandu sebuah kenderaan kereta berjenama Axia.

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

• Common Voice translators on Pontoon

Contribute

• Contribute questions

• Validate questions

• Answer questions

• Transcribe recordings

• Validate transcriptions

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