Datasets:

deepdml
/

openslr-32-hq-SA-languages

language:
  - af
  - st
  - tn
  - xh
license: cc-by-sa-4.0
task_categories:
  - automatic-speech-recognition
  - text-to-speech
pretty_name: SLR32 – High Quality TTS Data for Four South African Languages
configs:
  - config_name: af_za
    data_files: af_za/*.parquet
  - config_name: st_za
    data_files: st_za/*.parquet
  - config_name: tn_za
    data_files: tn_za/*.parquet
  - config_name: xh_za
    data_files: xh_za/*.parquet

SLR32 – High Quality TTS Data for Four South African Languages

Identifier: SLR32
License: CC BY-SA 4.0
Source: https://www.openslr.org/32/

Dataset Description

Homepage: OpenSLR SLR32

This dataset contains multi-speaker high quality transcribed audio data for four languages of South Africa: Afrikaans (af_za), Sesotho (st_za), Setswana (tn_za) and isiXhosa (xh_za).

The dataset consists of WAV files and a TSV file transcribing the audio. In each folder the file line_index.tsv contains a FileID (which in turn encodes the UserID) and the transcription of the corresponding audio file.

The dataset has had some quality checks, but there might still be errors.

It was collected as a collaboration between North West University and Google.

Configs / Splits

Config	Language	Utterances
af_za	Afrikaans	2927
st_za	Sesotho	2096
tn_za	Setswana	2378
xh_za	isiXhosa	2420

Fields

Field	Type	Description
`file_id`	string	Unique identifier (encodes speaker/user)
`audio`	Audio	WAV audio
`transcript`	string	Transcription of the utterance
`duration`	float32	Audio duration in seconds

Citation

@inproceedings{van-niekerk-etal-2017,
  title     = {{Rapid development of TTS corpora for four South African languages}},
  author    = {Daniel van Niekerk and Charl van Heerden and Marelie Davel and
               Neil Kleynhans and Oddur Kjartansson and Martin Jansche and Linne Ha},
  booktitle = {Proc. Interspeech 2017},
  pages     = {2178--2182},
  address   = {Stockholm, Sweden},
  month     = aug,
  year      = {2017},
  URL       = {http://dx.doi.org/10.21437/Interspeech.2017-1139}
}