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Create README.md
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README.md
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| 1 |
+
---
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| 2 |
+
tags:
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| 3 |
+
- espnet
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| 4 |
+
- audio
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| 5 |
+
- self-supervised-learning
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| 6 |
+
- speech-recognition
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| 7 |
+
multilinguality:
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| 8 |
+
- multilingual
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| 9 |
+
task_categories:
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| 10 |
+
- automatic-speech-recognition
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| 11 |
+
language:
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| 12 |
+
- afr
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| 13 |
+
- amh
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| 14 |
+
- ara
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| 15 |
+
- asm
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| 16 |
+
- ast
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| 17 |
+
- azj
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| 18 |
+
- bel
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| 19 |
+
- ben
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| 20 |
+
- bos
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| 21 |
+
- cat
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| 22 |
+
- ceb
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| 23 |
+
- cmn
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| 24 |
+
- ces
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| 25 |
+
- cym
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| 26 |
+
- dan
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| 27 |
+
- deu
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| 28 |
+
- ell
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| 29 |
+
- eng
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| 30 |
+
- spa
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| 31 |
+
- est
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| 32 |
+
- fas
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| 33 |
+
- ful
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| 34 |
+
- fin
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| 35 |
+
- tgl
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| 36 |
+
- fra
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| 37 |
+
- gle
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| 38 |
+
- glg
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| 39 |
+
- guj
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| 40 |
+
- hau
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| 41 |
+
- heb
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| 42 |
+
- hin
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| 43 |
+
- hrv
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| 44 |
+
- hun
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| 45 |
+
- hye
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| 46 |
+
- ind
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| 47 |
+
- ibo
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| 48 |
+
- isl
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| 49 |
+
- ita
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| 50 |
+
- jpn
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| 51 |
+
- jav
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| 52 |
+
- kat
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| 53 |
+
- kam
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| 54 |
+
- kea
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| 55 |
+
- kaz
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| 56 |
+
- khm
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| 57 |
+
- kan
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| 58 |
+
- kor
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| 59 |
+
- ckb
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| 60 |
+
- kir
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| 61 |
+
- ltz
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| 62 |
+
- lug
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| 63 |
+
- lin
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| 64 |
+
- lao
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| 65 |
+
- lit
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| 66 |
+
- luo
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| 67 |
+
- lav
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| 68 |
+
- mri
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| 69 |
+
- mkd
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| 70 |
+
- mal
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| 71 |
+
- mon
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| 72 |
+
- mar
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| 73 |
+
- msa
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| 74 |
+
- mlt
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| 75 |
+
- mya
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| 76 |
+
- nob
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| 77 |
+
- npi
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| 78 |
+
- nld
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| 79 |
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- nso
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| 80 |
+
- nya
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| 81 |
+
- oci
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| 82 |
+
- orm
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| 83 |
+
- ory
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| 84 |
+
- pan
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| 85 |
+
- pol
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| 86 |
+
- pus
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| 87 |
+
- por
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| 88 |
+
- ron
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| 89 |
+
- rus
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| 90 |
+
- bul
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| 91 |
+
- snd
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| 92 |
+
- slk
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| 93 |
+
- slv
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| 94 |
+
- sna
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| 95 |
+
- som
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| 96 |
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- srp
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| 97 |
+
- swe
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| 98 |
+
- swh
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| 99 |
+
- tam
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| 100 |
+
- tel
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| 101 |
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- tgk
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| 102 |
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- tha
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| 103 |
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- tur
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| 104 |
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- ukr
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| 105 |
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- umb
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| 106 |
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- urd
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| 107 |
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- uzb
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| 108 |
+
- vie
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| 109 |
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- wol
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| 110 |
+
- xho
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| 111 |
+
- yor
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| 112 |
+
- yue
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| 113 |
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- zul
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| 114 |
+
datasets:
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| 115 |
+
- fleurs
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| 116 |
+
- babel
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| 117 |
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- voxpopuli
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| 118 |
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- commonvoice
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| 119 |
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license: cc-by-4.0
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| 120 |
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---
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| 121 |
+
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| 122 |
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## WavLabLM-MS 40k
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| 123 |
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| 124 |
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[Paper](https://arxiv.org/abs/2309.15317)
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| 125 |
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| 126 |
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This model was trained by [William Chen](https://wanchichen.github.io/) using ESPNet2's SSL recipe in [espnet](https://github.com/espnet/espnet/).
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| 127 |
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WavLabLM is an self-supervised audio encoder pre-trained on 40,000 hours of multilingual data across 136 languages. This specific variant, WavLabLM-MK, uses a K-means model trained on multilingual data for the quantization.
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| 128 |
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It is used as the base model for [WavLabLM-MS](https://huggingface.co/espnet/WavLabLM-MS-40k), which is better tuned for non-European languages.
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| 129 |
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| 130 |
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| 131 |
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```BibTex
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| 132 |
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@misc{chen2023joint,
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| 133 |
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title={Joint Prediction and Denoising for Large-scale Multilingual Self-supervised Learning},
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| 134 |
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author={William Chen and Jiatong Shi and Brian Yan and Dan Berrebbi and Wangyou Zhang and Yifan Peng and Xuankai Chang and Soumi Maiti and Shinji Watanabe},
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| 135 |
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year={2023},
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| 136 |
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eprint={2309.15317},
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| 137 |
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archivePrefix={arXiv},
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| 138 |
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primaryClass={cs.CL}
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| 139 |
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}
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| 140 |
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```
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| 141 |
+
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| 142 |
+
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| 143 |
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### Citing ESPnet
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| 144 |
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| 145 |
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```BibTex
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| 146 |
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@inproceedings{watanabe2018espnet,
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| 147 |
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author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
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| 148 |
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title={{ESPnet}: End-to-End Speech Processing Toolkit},
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| 149 |
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year={2018},
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| 150 |
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booktitle={Proceedings of Interspeech},
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| 151 |
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pages={2207--2211},
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| 152 |
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doi={10.21437/Interspeech.2018-1456},
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| 153 |
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
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| 154 |
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}
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| 155 |
+
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| 156 |
+
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| 157 |
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```
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| 158 |
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| 159 |
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or arXiv:
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| 160 |
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| 161 |
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```bibtex
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| 162 |
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@misc{watanabe2018espnet,
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| 163 |
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title={ESPnet: End-to-End Speech Processing Toolkit},
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| 164 |
+
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
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| 165 |
+
year={2018},
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| 166 |
+
eprint={1804.00015},
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| 167 |
+
archivePrefix={arXiv},
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| 168 |
+
primaryClass={cs.CL}
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| 169 |
+
}
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| 170 |
+
```
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