File size: 2,851 Bytes
aca68d3 b531acf aca68d3 b531acf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 | ---
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`](https://huggingface.co/datasets/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
```python
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
```json
{"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.
|