Update README.md

README.md

@@ -80,12 +80,21 @@ tags:
 - **Repository:** [Needs More Information]
 - **Paper:** [Bangladeshi Bangla speech corpus for automatic speech recognition research](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370)
 - **Leaderboard:** [Needs More Information]
-- **Point of Contact:** [AILAB](mailto:ailab@hcmus.edu.vn)
+- **Point of Contact:** [A. M. Samin](mailto:asamin9796@gmail.com)
 
 ### Dataset Summary
 
-SUBAK.KO is a Bangladeshi standard Bangla annotated speech corpus for automatic speech recognition research. The corpus contains 241 hours
-of high quality speech data, including 229 hours of read speech data collected in an studio environment and 12 hours of broadcast speech data.
+SUBAK.KO, a publicly available annotated Bangladeshi standard Bangla speech corpus is compiled for automatic speech recognition research. 
+This corpus contains 241 hours of high-quality speech data, including 229 hours of read speech data and 12 hours of broadcast speech data. 
+The read speech segment is recorded in a noise-proof studio environment from 33 male and 28 female native Bangladeshi Bangla speakers 
+representing 8 divisions/34 districts of Bangladesh. Furthermore, the read speech segment comprises a total of 1 hour and 30 minutes 
+of recorded speech provided by two second language (L2) speakers. The broadcast speech segment is collected from YouTube. SUBAK.KO has 
+been manually annotated under human supervision. The [associated paper](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) reports detailed information about 
+the development and baseline performance of SUBAK.KO. 
+
+SUBAK.KO is developed by the Department of Computer Science and Engineering (CSE) at Shahjalal University of Science and Technology (SUST), 
+Bangladesh with financial support from the Higher Education Quality Enhancement Project (AIF Window 4, CP 3888) for “The Development of 
+Multi-Platform Speech and Language Processing Software for Bangla” of the University Grants Commission (UGC), Bangladesh.
 
 ### Supported Tasks and Leaderboards
 
@@ -133,56 +142,9 @@ Speech was recorded in a quiet environment with high quality microphone, speaker
 | Duration         | 14:55 | 00:45 |
 | Unique Syllables | 4617  | 1692  |
 
-## Dataset Creation
-
-### Curation Rationale
-
-[Needs More Information]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[Needs More Information]
-
-#### Who are the source language producers?
-
-[Needs More Information]
-
-### Annotations
-
-#### Annotation process
-
-[Needs More Information]
-
-#### Who are the annotators?
-
-[Needs More Information]
-
-### Personal and Sensitive Information
-
-The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in this dataset.
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed] 
-
-### Other Known Limitations
-
-Dataset provided for research purposes only. Please check dataset license for additional information. 
 
 ## Additional Information
 
-### Dataset Curators
-
-The dataset was initially prepared by AILAB, a computer science lab of VNUHCM - University of Science.
-
 ### Licensing Information
 
 Public Domain, Creative Commons Attribution NonCommercial ShareAlike v4.0 ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode))