Common Voice Spontaneous Speech 1.0 - Sena

[Sena] — Sena (seh)

This datasheet is for version 1.0 of the the Mozilla Common Voice Spontaneous Speech dataset for Sena (seh). The dataset contains 21 clips representing 1 hours of recorded speech (0 hours validated) from 1 speakers.

Language

The Sena language (hereinafter Cisena, N 44 in the Guthrie classification, 1967-71), is a language originally belonging to the Congo-Kordophonian (Niger-Congo) family of the Bantu group. In Mozambique the Sena language is spoken predominantly in the provinces of lower Zambeze, namely Sofala, Zambezia, Tete and Manica and in the far south of the Republic of Malawi. The record of the presence of Sena speakers in the region is documented with the designation of the Village of Sena, from 1561. In Mozambique the Sena language is spoken to about 1,551,684 speakers of five or more years of age (INE, 2017) and in the Republic of Malawi it is spoken to about half a million people. The Cisena has the following variants: Sena Tonga, spoken in the north and center of Sofala, and in the borders of Tete and Zambezia; Sena Bangwe, spoken in the Beira area; Sena Phodzo, spoken between Sofala and Zambezia (from Marromeu, until Chinde) and Mopeia (in Zambezia); Sena Gombe, spoken in Caia, Mutarara, Chemba (coast), and Cheringoma and the coastal part of Zambezia; Sena Gorongozi, spoken in the Sierra Gorongosa area. The first grammar of the sena language was elaborated and printed in Chupanga (Marromeu), in 1900, by the french jesuit missionary and philologist Jules Torrend, in a trilingual edition in portuguese, sena and english. Two years earlier, the typography of this catholic mission had already produced a sena-portuguese catechism. In 1957, the first Portuguese-Sena-Portuguese dictionary was published in Beira. Since 2004, in Mozambique, the sena language has been part of bilingual education in rural schools in Sofala province, during the first five years of primary education, of the National Education System

Transcriptions

• Prompts: 21

• Duration: 830124[ms]

• Avg. Transcription Len: 66

• Avg. Duration: 39.53[s]

• Valid Duration: 0.0[s]

• Total hours: 0.23[h]

• Valid hours: 0.0[h]

Writing system

The writing system uses the Latin script in general, but with some combinations of consonants that serve to represent the specific sounds of the language as ny, dz, jh, pf, bz, ng', ps, sv, ts, dh and bh.

Symbol table

Samples

Questions

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

Samora Machel ndi mbani penu akhali yani?
Thangweranji pasakhondeswa anapiyana kuyenda kumaliro?
Maputo ndi cigawo comwe cisagumanika kupi?
Imwe mucisa mwanu muna pifuwo pipi?
Musafuna kudyanji makamaka mucisa mwanu?

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

• Original language request on GitHub

Contribute

• Contribute questions

• Validate questions

• Answer questions

• Transcribe recordings

• Validate transcriptions

Acknowledgements

Datasheet authors

• Ricardo Samuel Bulaque

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