ghananlpcommunity/ghana-speech-phonemized

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.

Contents

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.