Datasets:

ghananlpcommunity
/

twi-health-asr-gemini-500hrs-ipa

license: cc-by-nc-4.0
task_categories:
  - automatic-speech-recognition
  - text-to-speech
language:
  - tw
tags:
  - health
  - medical
  - speech
  - ghana
  - african-languages
  - phonemes
  - ipa
  - g2p
pretty_name: Twi Health Speech Dataset Gemini (500 hours) — IPA
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Twi Health Speech Dataset Gemini (500 hours) — IPA

A phonemised version of ghananlpcommunity/twi-health-asr-gemini-500hrs with one added column: ipa.

audio, transcription and row order are carried over unchanged, so this dataset aligns one-to-one with the original. ~59k utterances, ~500 hours.

The `ipa` column

Each transcription is converted to a phoneme sequence with ghanag2p-uni, the Twi-only grapheme-to-phoneme library built on ghana-g2p, run with normalise=True.

Phoneme units are separated by single spaces, so the column tokenises by splitting on whitespace. Arabic numerals are expanded to English words before conversion ("5" → five). Punctuation is dropped.

Aligned to an existing phoneme inventory

The phonemes are not raw Twi IPA. They are mapped onto the 79-token inventory of KoelLabs/xlsr-english-01, so this column can be used as a CTC target for that model with no vocabulary extension and no resized head. Every unit the Twi rules can emit is covered, so <unk> cannot occur.

The mapping is lossy, by design:


`t͡ʃ` `d͡ʒ`	tie bar dropped — same phoneme, written untied
`tʰ` → `t`	the inventory has `kʰ` and `pʰ`, but no `tʰ`
`oː` `iː`	vowel length is not contrastive there
`ç` → `ʃ`, `ɲ` → `n j`	Twi `hy` and `ny` have no counterpart
`kʷ` → `k w`, `hʷ` → `h w`	labialisation becomes a glide
`ie` → `i e`, `oɔ` → `o ɔ`	vowel clusters split into their parts

If you want faithful Twi IPA instead, regenerate the column from transcription with GhanaG2PUni(normalise=False).

One language, applied throughout. ghanag2p-uni phonemises everything under Twi rules — there is no language switch. Where the source transcripts carry English words, they are rendered as a Twi speaker's phonology rather than with an English G2P.

Usage

from datasets import load_dataset, Audio

ds = load_dataset(
    "ghananlpcommunity/twi-health-asr-gemini-500hrs-ipa",
    split="train",
)
ds = ds.cast_column("audio", Audio(sampling_rate=16000))

sample = ds[0]
print(sample["transcription"])
print(sample["ipa"].split())   # phoneme tokens

Reproduce the column yourself:

from ghanag2p_uni import GhanaG2PUni

g = GhanaG2PUni(normalise=True)
g.ipa("Mfiase no Onyankopɔn bɔɔ ɔsoro.", sep=" ")

Fields

Field	Type	Description
`audio`	`Audio`	Speech recording, 16 kHz
`transcription`	`string`	Twi transcript
`ipa`	`string`	Space-separated phonemes of `transcription`, in the KoelLabs inventory

Credit

All audio and transcripts are the work of the original dataset's authors; this derivative adds only the ipa column.

Original: https://huggingface.co/datasets/ghananlpcommunity/twi-health-asr-gemini-500hrs

Licence: CC BY-NC 4.0, as the source dataset.