---
task_categories:
- text-classification
- text-generation
- translation
tags:
- ipa
- phonetic
- lexicon
pretty_name: IPA Phonetic Lexicon (7M words)
size_categories:
- 1M<n<10M
license:
- other
language:
- 'aa'
- 'aae'
- 'ab'
- 'abq'
- 'ady'
- 'aeb'
- 'af'
- 'afb'
- 'agx'
- 'aii'
- 'ak'
- 'alq'
- 'am'
- 'an'
- 'ang'
- 'apc'
- 'ar'
- 'arn'
- 'arp'
- 'arq'
- 'ary'
- 'arz'
- 'as'
- 'ast'
- 'av'
- 'avk'
- 'ay'
- 'az'
- 'ba'
- 'bal'
- 'bar'
- 'bcj'
- 'bcl'
- 'bcq'
- 'be'
- 'bem'
- 'bfz'
- 'bg'
- 'bh'
- 'bi'
- 'bin'
- 'bm'
- 'bn'
- 'bo'
- 'bqi'
- 'br'
- 'bs'
- 'bsk'
- 'bxr'
- 'ca'
- 'cdo'
- 'ce'
- 'ceb'
- 'cgg'
- 'ch'
- 'chm'
- 'chn'
- 'chr'
- 'cjy'
- 'co'
- 'cop'
- 'cpx'
- 'cr'
- 'crh'
- 'cs'
- 'csb'
- 'cv'
- 'cy'
- 'da'
- 'dag'
- 'de'
- 'din'
- 'dtp'
- 'dv'
- 'dz'
- 'ee'
- 'egl'
- 'el'
- 'en'
- 'enm'
- 'eo'
- 'es'
- 'esu'
- 'et'
- 'ett'
- 'eu'
- 'ewo'
- 'fa'
- 'ff'
- 'fi'
- 'fj'
- 'fo'
- 'fr'
- 'frp'
- 'fuc'
- 'fur'
- 'fy'
- '_ga'
- 'gaa'
- 'gan'
- 'gd'
- 'gl'
- 'glk'
- 'gn'
- 'gom'
- 'got'
- 'grc'
- 'gsw'
- 'gu'
- 'guz'
- 'gv'
- 'ha'
- 'hak'
- 'haw'
- 'hbo'
- 'he'
- 'hi'
- 'hif'
- 'hil'
- 'hmn'
- 'hr'
- 'hsb'
- 'hsn'
- 'ht'
- 'hu'
- 'hy'
- 'hz'
- 'ia'
- 'ibd'
- 'ig'
- 'ii'
- 'ilo'
- 'ind'
- 'inh'
- 'is'
- 'it'
- 'iu'
- 'ja'
- 'jam'
- 'jje'
- 'jv'
- 'ka'
- 'kaa'
- 'kab'
- 'kbd'
- 'kea'
- 'kfr'
- 'kha'
- 'ki'
- 'kk'
- 'kl'
- 'kln'
- 'km'
- 'kmb'
- 'kmr'
- 'kn'
- 'ko'
- 'krc'
- 'kri'
- 'ks'
- 'ku'
- 'kv'
- 'kw'
- 'ky'
- 'la'
- 'lad'
- 'lb'
- 'lez'
- 'lg'
- 'li'
- 'lij'
- 'lkt'
- 'lld'
- 'lmo'
- 'ln'
- 'lo'
- 'lou'
- 'loz'
- 'lrc'
- 'lt'
- 'ltc'
- 'ltg'
- 'luo'
- 'lut'
- 'lv'
- 'lzz'
- 'mdf'
- 'mey'
- 'mfe'
- 'mfo'
- 'mg'
- 'mh'
- 'mi'
- 'mic'
- 'min'
- 'mk'
- 'ml'
- 'mn'
- 'mnc'
- 'mns'
- 'mo'
- 'moh'
- 'mr'
- 'ms'
- 'msb'
- 'mt'
- 'my'
- 'myv'
- 'mzn'
- 'nah'
- 'nan'
- 'nap'
- 'nds'
- 'ne'
- 'new'
- 'ng'
- 'ngh'
- 'nl'
- 'nn'
- 'no'
- 'nog'
- 'non'
- 'nsk'
- 'nv'
- 'nxq'
- 'ny'
- 'oc'
- 'oj'
- 'om'
- 'or'
- 'os'
- 'ota'
- 'otk'
- 'pa'
- 'pag'
- 'pap'
- 'pau'
- 'pcc'
- 'pcd'
- 'pdc'
- 'pdt'
- 'pi'
- 'pjt'
- 'pl'
- 'pln'
- 'pms'
- 'prs'
- 'ps'
- 'pt'
- 'qu'
- 'qxq'
- 'qya'
- 'rap'
- 'rcf'
- 'rgn'
- 'rm'
- 'rn'
- 'ro'
- 'rom'
- 'ru'
- 'rue'
- 'rup'
- 'rw'
- 'ryu'
- 'sa'
- 'sah'
- 'sc'
- 'scn'
- 'sco'
- 'sd'
- 'sg'
- 'shi'
- 'si'
- 'sk'
- 'skr'
- 'sl'
- 'sli'
- 'sm'
- 'sme'
- 'sn'
- 'snk'
- 'so'
- 'sq'
- 'sr'
- 'srn'
- 'sro'
- 'ss'
- 'st'
- 'sty'
- 'su'
- 'sv'
- 'sw'
- 'swg'
- 'sxu'
- 'syl'
- 'szl'
- 'ta'
- 'tdn'
- 'te'
- 'tg'
- 'th'
- 'ti'
- 'tk'
- 'tl'
- 'tlh'
- 'tly'
- 'tn'
- 'to'
- 'tok'
- 'tpi'
- 'tr'
- 'trv'
- 'tt'
- 'tw'
- 'ty'
- 'tyv'
- 'tzl'
- 'tzm'
- 'uby'
- 'udm'
- 'ug'
- 'uk'
- 'ur'
- 'uz'
- 've'
- 'vec'
- 'vi'
- 'vls'
- 'vmf'
- 'vo'
- 'vro'
- 'wa'
- 'wo'
- 'wuu'
- 'xal'
- 'xh'
- 'xmf'
- 'yey'
- 'yi'
- 'yo'
- 'yua'
- 'yue'
- 'za'
- 'zh'
- 'zpf'
- 'zu'
- 'zza'
---

# IPA Phonetic Lexicon (6.9M words)

- This is an International Phonetic Language lexicon containing 6.9 million utterances across 350+ languages.
- All speech files were converted into IPA using our [neurlang/ipa-whisper-medium](https://huggingface.co/neurlang/ipa-whisper-medium) model.
- Postprocessing to join multiword IPA into single-word IPA record for single-word headwords was performed for appropriate languages.

## Global Map

[![world.png](world.png)](https://legendary-database-d1s2.pagedrop.io/)


## Stats

- **Total words:** 6908075
- **Countries:** 211
- **Languages:** 356
- **Unique Speakers:** 81756
- **Gender Ratio M/F:** 4802600/2083464


## Data Format

- `JSONL`/`ZST`

```json
{
  "language": "en",
  "headword": "café",
  "query_word": "caf%C3%A9",
  "votes": 6,
  "origin": ["user", "male", "united kingdom"],
  "download_url": "...",
  "is_ogg": false,
  "id": 55272,
  "ipa": "kafˈe"
}
```


## Quality scoring (votes)

 words | votes
--------|------
6470891 | 0
324214 | 1
44413 | 2
14218 | 3
6491 | 4
3552 | 5
2143 | 6
1392 | 7
956 | 8
635 | 9
1762 | 10+



- Votes represent community confidence in pronunciation accuracy
- Recommended filter: votes ≥ 1 for high-quality subset
- Negative votes are also present (not shown above)
- In the future other quality metrics (CER w.r.t. grammar) will be added


## ⚠️ Limitations
- Speaker distribution is highly uneven across countries
- Some languages are overrepresented (e.g. English, Spanish)
- Country labels/languages may be inacurrate for some users (e.g. Antartica)
- Audio quality varies by contributor
- IPA generation is model-derived (not manually verified)
- Regional dialect distinctions may be blurred