holylovenia commited on
Commit
f42228d
1 Parent(s): 3f09b86

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +54 -16
README.md CHANGED
@@ -1,20 +1,60 @@
 
1
  ---
2
- tags:
3
- - speech-recognition
4
- language:
5
  - ind
 
 
 
 
 
6
  ---
7
 
8
- # titml_idn
9
-
10
  TITML-IDN (Tokyo Institute of Technology Multilingual - Indonesian) is collected to build a pioneering Indonesian Large Vocabulary Continuous Speech Recognition (LVCSR) System. In order to build an LVCSR system, high accurate acoustic models and large-scale language models are essential. Since Indonesian speech corpus was not available yet, we tried to collect speech data from 20 Indonesian native speakers (11 males and 9 females) to construct a speech corpus for training the acoustic model based on Hidden Markov Models (HMMs). A text corpus which was collected by ILPS, Informatics Institute, University of Amsterdam, was used to build a 40K-vocabulary dictionary and a n-gram language model.
11
 
 
 
 
 
 
 
 
 
 
12
  ## Dataset Usage
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13
 
14
- Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
 
 
 
 
 
 
 
 
 
 
15
 
16
  ## Citation
17
 
 
18
  ```
19
  @inproceedings{lestari2006titmlidn,
20
  title={A large vocabulary continuous speech recognition system for Indonesian language},
@@ -23,16 +63,14 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
23
  pages={17--22},
24
  year={2006}
25
  }
26
- ```
27
-
28
- ## License
29
-
30
- For research purposes only. If you use this corpus, you have to cite (Lestari et al, 2006).
31
 
32
- ## Homepage
33
 
34
- [http://research.nii.ac.jp/src/en/TITML-IDN.html](http://research.nii.ac.jp/src/en/TITML-IDN.html)
35
-
36
- ### NusaCatalogue
 
 
 
 
37
 
38
- For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
 
1
+
2
  ---
3
+ license: other
4
+ language:
 
5
  - ind
6
+ pretty_name: Titml Idn
7
+ task_categories:
8
+ - speech-recognition
9
+ tags:
10
+ - speech-recognition
11
  ---
12
 
 
 
13
  TITML-IDN (Tokyo Institute of Technology Multilingual - Indonesian) is collected to build a pioneering Indonesian Large Vocabulary Continuous Speech Recognition (LVCSR) System. In order to build an LVCSR system, high accurate acoustic models and large-scale language models are essential. Since Indonesian speech corpus was not available yet, we tried to collect speech data from 20 Indonesian native speakers (11 males and 9 females) to construct a speech corpus for training the acoustic model based on Hidden Markov Models (HMMs). A text corpus which was collected by ILPS, Informatics Institute, University of Amsterdam, was used to build a 40K-vocabulary dictionary and a n-gram language model.
14
 
15
+
16
+ ## Languages
17
+
18
+ ind
19
+
20
+ ## Supported Tasks
21
+
22
+ Speech Recognition
23
+
24
  ## Dataset Usage
25
+ ### Using `datasets` library
26
+ ```
27
+ from datasets import load_dataset
28
+ dset = datasets.load_dataset("SEACrowd/titml_idn", trust_remote_code=True)
29
+ ```
30
+ ### Using `seacrowd` library
31
+ ```import seacrowd as sc
32
+ # Load the dataset using the default config
33
+ dset = sc.load_dataset("titml_idn", schema="seacrowd")
34
+ # Check all available subsets (config names) of the dataset
35
+ print(sc.available_config_names("titml_idn"))
36
+ # Load the dataset using a specific config
37
+ dset = sc.load_dataset_by_config_name(config_name="<config_name>")
38
+ ```
39
+
40
+ More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
41
+
42
 
43
+ ## Dataset Homepage
44
+
45
+ [http://research.nii.ac.jp/src/en/TITML-IDN.html](http://research.nii.ac.jp/src/en/TITML-IDN.html)
46
+
47
+ ## Dataset Version
48
+
49
+ Source: 1.0.0. SEACrowd: 2024.06.20.
50
+
51
+ ## Dataset License
52
+
53
+ Other License (others) | For research purposes only. If you use this corpus, you have to cite (Lestari et al, 2006).
54
 
55
  ## Citation
56
 
57
+ If you are using the **Titml Idn** dataloader in your work, please cite the following:
58
  ```
59
  @inproceedings{lestari2006titmlidn,
60
  title={A large vocabulary continuous speech recognition system for Indonesian language},
 
63
  pages={17--22},
64
  year={2006}
65
  }
 
 
 
 
 
66
 
 
67
 
68
+ @article{lovenia2024seacrowd,
69
+ title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages},
70
+ author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
71
+ year={2024},
72
+ eprint={2406.10118},
73
+ journal={arXiv preprint arXiv: 2406.10118}
74
+ }
75
 
76
+ ```