Common Voice Spontaneous Speech 2.0 - Bahasa Malay

[Bahasa Malay] — Bahasa Malay (ms-MY)

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 Bahasa Malay (ms-MY). The dataset contains 1148 clips representing 7 hours of recorded speech (6 hours validated) from 23 speakers.

Data splits for modelling

Transcriptions

• Prompts: 119

• Duration: 6:11:21 [h:m:s]

• Avg. Transcription Len: 201

• Avg. Duration: 19.41[s]

• Valid Duration: 20302.02[s]

• Total hours: 6.19[h]

• Valid hours: 5.64[h]

Samples

Questions

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

Pada pendapat anda, mengapakah langit berwarna biru?
Jika anda boleh mempelajari apa-apa kemahiran, apa yang anda ingin pelajari?
Jelaskan tentang beberapa makanan yang tidak sihat atau yang sebaiknya hanya dimakan sekali-sekala. 
Adakah orang yang berbeza umur menggunakan teknologi dengan cara yang berbeza?
Adakah mudah untuk memulakan perniagaan di negara anda?

Responses

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

Langit berwarna biru adalah disebabkan udara dan juga atmosfera yang terbentuk antara bumi dan juga langit.
Saya selalu ingin mempelajari kemahiran bermain piano ataupun alat-alat muzik yang lain, kerana ianya menguji kecerdasan minda serta koordinasi tangan dan mata.
Makanan-makanan proses seperti sosej, maggi goreng dan segala makanan proses, kerana dia akan memberikan impak yang negatif kepada badan kita.
Orang ataupun GenZ, dan juga GenAlpha dan juga GenY lebih peka akan IT, manakala <noise> boomer dan silent generation tidak peka. Itulah, cara berbeza.
Agak sukar kerana kita perlu memikirkan produk yang baru, Dari segi produk dan idea, ianya agak sukar. Kita perlu berfikiran kreatif untuk membuka sesuatu perniagaan kerana di Malaysia terlalu banyak persaingan dalam sesuatu produk.

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

Get involved!

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 demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2