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README.md

@@ -5,8 +5,9 @@ language:
 - ind
 ---
 
-INDspeech_DIGIT_CDSR is the first Indonesian speech dataset for connected digit speech recognition (CDSR). The data was developed by TELKOMRisTI (R&D Division, PT Telekomunikasi Indonesia) in collaboration with Advanced Telecommunication Research Institute International (ATR) Japan and Bandung Institute of Technology (ITB) under the Asia-Pacific Telecommunity (APT) project in 2004 [Sakti et al., 2004]. Although it was originally developed for a telecommunication system for hearing and speaking impaired people, it can be used for other applications, i.e., automatic call centers that recognize telephone numbers.
+# indspeech_digit_cdsr
 
+INDspeech_DIGIT_CDSR is the first Indonesian speech dataset for connected digit speech recognition (CDSR). The data was developed by TELKOMRisTI (R&D Division, PT Telekomunikasi Indonesia) in collaboration with Advanced Telecommunication Research Institute International (ATR) Japan and Bandung Institute of Technology (ITB) under the Asia-Pacific Telecommunity (APT) project in 2004 [Sakti et al., 2004]. Although it was originally developed for a telecommunication system for hearing and speaking impaired people, it can be used for other applications, i.e., automatic call centers that recognize telephone numbers.
 
 ## Dataset Usage
 
@@ -14,7 +15,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@inproceedings{sakti-icslp-2004,
+```
+@inproceedings{sakti-icslp-2004,
     title = "Indonesian Speech Recognition for Hearing and Speaking Impaired People",
     author = "Sakti, Sakriani and Hutagaol, Paulus and Arman, Arry Akhmad and Nakamura, Satoshi",
     booktitle = "Proc. International Conference on Spoken Language Processing (INTERSPEECH - ICSLP)",
@@ -30,6 +32,8 @@ CC-BY-NC-SA-4.0
 
 ## Homepage
 
+[https://github.com/s-sakti/data_indsp_digit_cdsr](https://github.com/s-sakti/data_indsp_digit_cdsr)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)