Update README.md

README.md

@@ -1,7 +1,20 @@
+---
+license: mit
+language:
+- uz
+tags:
+- audio
+- speech
+task_categories:
+- automatic-speech-recognition
+---
+
+
 # Uzbek Speech Corpus (USC)
 
-**Summary:** This repository contains dataset for reproducing the results presented in the paper "USC: An Open-Source Uzbek Speech Corpus" ([https://arxiv.org/abs/2107.14419](https://arxiv.org/abs/2107.14419)).  The Uzbek Speech Corpus (USC) is a freely available, manually checked speech corpus comprising 958 speakers and 105 hours of transcribed audio recordings. This is, to the best of the authors' knowledge, the first open-source Uzbek speech corpus dedicated to Automatic Speech Recognition (ASR). The repository provides pre-trained models and training recipes using both DNN-HMM and end-to-end (E2E) architectures, achieving promising word error rates (WER) of 18.1% and 17.4% on validation and test sets respectively.  The code builds upon ESPnet.
+**Paper:** [USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments](https://link.springer.com/chapter/10.1007/978-3-030-87802-3_40)
 
+**Summary:** This repository contains dataset for reproducing the results presented in the paper "USC: An Open-Source Uzbek Speech Corpus". USC is a freely available, manually checked speech corpus comprising 958 speakers and 105 hours of transcribed audio recordings. 
 
 **Dataset Summary:**
 
@@ -18,18 +31,14 @@
 
 **Github Repository:** https://github.com/IS2AI/Uzbek_ASR
 
-
-**Authors:**
-
-- Muhammadjon Musaev
-- Saida Mussakhojayeva
-- Ilyos Khujayorov
-- Yerbolat Khassanov
-- Mannon Ochilov
-- Huseyin Atakan Varol
-
-<!-- 
 **Citation:**
-
-[Please insert BibTeX citation here based on the arXiv link provided.]
- -->
+```bibtex
+@inproceedings{musaev2021usc,
+  title={USC: An open-source Uzbek speech corpus and initial speech recognition experiments},
+  author={Musaev, Muhammadjon and Mussakhojayeva, Saida and Khujayorov, Ilyos and Khassanov, Yerbolat and Ochilov, Mannon and Atakan Varol, Huseyin},
+  booktitle={Speech and Computer: 23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27--30, 2021, Proceedings 23},
+  pages={437--447},
+  year={2021},
+  organization={Springer}
+}
+```