Datasets:

ghananlpcommunity
/

ghana-speech-phonemized

language:
  - multilingual
language_bcp47:
  - akp-AK
  - any-Iv
  - twi-GH
  - avn-GH
  - bqa-GH
  - bim-GH
  - biv-GH
  - bib-GH
  - bwu-GH
  - ncu-GH
  - dga-GH
  - dag-GH
  - adq-GH
  - mzw-GH
  - ewe-GH
  - fat-GH
  - ffm-GH
  - acd-GH
  - gjn-GH
  - hau-GH
  - kbp-GH
  - xsm-GH
  - xon-GH
  - kma-GH
  - kus-GH
  - lef-GH
  - maw-GH
  - naw-GH
  - Gur-GH
  - nko-GH
  - ntr-GH
  - nzi-GH
  - sig-GH
  - sfw-GH
  - lip-GH
  - snw-GH
  - sil-GH
  - siwu-GH
  - tpm-GH
  - kdh-GH
  - bov-GH
  - vag-GH
tags:
  - speech
  - multilingual
  - african-languages
  - ghana
  - phonemes
  - tts

Ghana Speech (Phonemized)

Preprocessed multilingual speech dataset from ghananlpcommunity/ghana-speech, covering 42 Ghanaian and West African languages with IPA phoneme transcriptions.

This dataset contains only the metadata and phonemes — no audio. Use it together with the source dataset to load audio on-the-fly.

Each language is a separate config (Parquet). Columns:

Column	Type	Description
`id`	string	Unique clip ID (matches audio IDs in the source dataset)
`text`	string	Raw orthographic transcription
`phon`	string	IPA phoneme transcription (espeak `lfn` voice)
`lang`	string	Language subset name (e.g. `Akuapem_Twi_twi`)
`lang_id`	int	Integer language ID (0-41) for speaker-conditioning slot
`dur`	float	Clip duration in seconds
`source_file`	string	Original source filename
`split`	string	`train` or `val`

Repo-level files:

lang_map.json — language name to lang_id mapping
ghana_speech.json — mel normalisation stats (mel_mean, mel_std)
lang_stats.json — per-language clip counts
val_ids.json — list of validation clip IDs

Filtering criteria

Duration: 1.0s to 15.0s
Phonemes: at least 2 non-space characters after phonemization
Empty text: excluded

Validation split

32 clips per language, stratified. Val clips have split="val" in the Parquet configs.

Usage with Matcha-TTS

from datasets import load_dataset, Audio

# Load phonemes for a specific language
ds = load_dataset("ghananlpcommunity/ghana-speech-phonemized", "Akuapem_Twi_twi", split="train")

# Load audio from the source dataset on-the-fly
audio_ds = load_dataset("ghananlpcommunity/ghana-speech", "Akuapem_Twi_twi", split="train")

# Combine: use phonemes from this dataset, audio from source
for phon_row, audio_row in zip(ds, audio_ds):
    phonemes = phon_row["phon"]
    audio = audio_row["audio"]["array"]

Mel normalisation stats

{"mel_mean": -5.728251241639019, "mel_std": 3.3875457364162376}

Statistics

Total clips: ~1,195,000
Languages: 42
Train clips: ~1,194,000
Val clips: 1,344 (32 per language)

License

Same as source dataset.