Update README.md

README.md

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 BanSpeech is a publicly available human-annotated Bangladeshi standard Bangla multi-domain automatic speech recognition (ASR) benchmark. 
 This benchmark contains approximately 6.52 hours of human-annotated broadcast speech, totaling 8085 utterances, across 13 distinct domains and 
 is primarily designed for ASR performance evaluation in challenging conditions e.g. spontaneous, domain-shifting, multi-talker, code-switching. 
-In addition, BanSpeech covers dialectal domains from 7 regions of Bangladesh, however, this part is weakly labeled. 
-The dialectal domain can be used for dialect recognition task. The [corresponding paper](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) reports 
-detailed information about the development of BanSpeech and also the performance of state-of-the-art fully supervised, self-supervised and weakly supervised models' 
-performance on BanSpeech. 
+In addition, BanSpeech covers dialectal domains from 7 regions of Bangladesh, however, this part is weakly labeled and can be used for dialect recognition task. 
+The [corresponding paper](https://www.sciencedirect.com/science/article/abs/pii/S0167639321001370) reports 
+detailed information about the development of BanSpeech, along with an analysis of the performance of state-of-the-art 
+fully supervised, self-supervised, and weakly supervised models on BanSpeech.
 
 BanSpeech is developed by the researchers from the **Department of Computer Science and Engineering (CSE)** at **Shahjalal University of Science and Technology (SUST), 
 Bangladesh**.