File size: 2,895 Bytes
312c785 ca68712 c3109e0 ca68712 312c785 ca68712 c3109e0 9c1b2c8 c3109e0 9c1b2c8 c3109e0 9c1b2c8 9478075 8ba83f6 ac0af25 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 |
---
license: cc-by-nc-4.0
language:
- ab
- af
- am
- ar
- as
- az
- ba
- be
- bn
- bo
- bs
- br
- bg
- ca
- cs
- cv
- cy
- da
- de
- dv
- el
- en
- eo
- et
- eu
- ee
- fo
- fa
- tl
- fi
- fr
- fy
- ga
- gl
- gv
- gn
- gu
- ht
- ha
- he
- hi
- hr
- hu
- hy
- ig
- ia
- id
- is
- it
- jv
- ja
- kn
- ka
- kk
- km
- rw
- ky
- ku
- ko
- lo
- la
- lv
- ln
- lt
- lb
- lg
- ml
- mr
- mk
- mg
- mt
- mn
- mi
- ms
- my
- ne
- nl
- nn
- no
- oc
- or
- pa
- pl
- pt
- ps
- ro
- ru
- sa
- si
- sl
- sk
- sn
- sd
- so
- st
- es
- sq
- sc
- sr
- su
- sw
- sv
- ta
- tt
- te
- tg
- th
- tn
- tk
- tr
- tw
- ug
- uk
- ur
- uz
- vi
- xh
- yi
- yo
- zh
---
## mHuBERT-147 models
mHuBERT-147 are multilingual general-purpose HuBERT models trained on 90K hours of open-license data in 147 languages.
This repository contains:
* Fairseq checkpoint (original);
* HuggingFace checkpoint;
* Faiss index for continuous pre-training (OPQ16_64,IVF1000_HNSW32,PQ16x4fsr).
# Citing
```
[PAPER GOES HERE]
'''
# Other information
**Languages present not indexed by Huggingface:** Asturian (ast), Basaa (bas), Cebuano (ceb), Central Kurdish/Sorani (ckb), Hakha Chin (cnh), Hawaiian (haw), Upper Sorbian (hsb) Kabyle (kab), Moksha (mdf), Meadow Mari (mhr), Hill Mari (mrj), Erzya (myv), Taiwanese Hokkien (nan-tw), Sursilvan (rm-sursilv), Vallader (rm-vallader), Sakha (sah), Santali (sat), Scots (sco), Saraiki (skr), Tigre (tig), Tok Pisin (tpi), Akwapen Twi (tw-akuapem), Asante Twi (tw-asante), Votic (vot), Waray (war), Cantonese (yue).
**Manifest list:** https://huggingface.co/utter-project/mHuBERT-147-base-3rd-iter/tree/main/manifest
**Datasets:** For ASR/ST/TTS datasets, only train set is used.
* [Aishell](https://www.openslr.org/33/) and [AISHELL-3](https://www.openslr.org/93/)
* [BibleTTS](https://www.openslr.org/129/)
* [ClovaCall](https://github.com/clovaai/ClovaCall)
* [CommonVoice v11](https://commonvoice.mozilla.org/en/datasets)
* Google TTS data: [Javanese](https://www.openslr.org/41/), [Khmer](https://www.openslr.org/42/), [Nepali](https://www.openslr.org/43/), [Sundanese](https://www.openslr.org/44/), [South African Languages](https://www.openslr.org/32/), [Bengali Languages](https://www.openslr.org/37/)
* IISc-MILE: [Tamil](https://www.openslr.org/127/), [Kannada](https://www.openslr.org/126/)
* [Japanese Versatile Speech](https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus)
* [Kokoro](https://github.com/kaiidams/Kokoro-Speech-Dataset)
* [Kosp2e](https://github.com/warnikchow/kosp2e)
* Media Speech: [Turkish Only](https://www.openslr.org/108/)
* [Multilingual LibriSpeech](https://www.openslr.org/94/)
* [Samrómur](https://www.openslr.org/128/)
* [THCHS-30](https://www.openslr.org/18/) and [THUYG-20](https://www.openslr.org/22/)
* [VoxLingua107](https://bark.phon.ioc.ee/voxlingua107/)
* [VoxPopuli](https://github.com/facebookresearch/voxpopuli/) |