Update README.md

README.md

@@ -14,13 +14,13 @@ tags:
 - speech-recognition
 ---
 
-# MooER (摩耳): LLM-based Speech Recognition and Translation Models from Moore Threads
+# MooER (摩耳): an LLM-based Speech Recognition and Translation Model from Moore Threads
 
 **Online Demo**: https://mooer-speech.mthreads.com:10077/
 
 ## 📖 Introduction
 
-We introduce **MooER (摩耳)**: LLM-based speech recognition and translation models developed by Moore Threads. With the *MooER* framework, you can transcribe the speech into text (speech recognition or, ASR), and  translate it into other languages (speech translation or, AST) in a end-to-end manner. The performance of *MooER* is demonstrated in the subsequent section, along with our insights into model configurations, training strategies, and more, provided in our [technical report](https://arxiv.org/abs/2408.05101).
+We introduce **MooER (摩耳)**: an LLM-based speech recognition and translation model developed by Moore Threads. With the *MooER* framework, you can transcribe the speech into text (speech recognition or, ASR), and  translate it into other languages (speech translation or, AST) in a end-to-end manner. The performance of *MooER* is demonstrated in the subsequent section, along with our insights into model configurations, training strategies, and more, provided in our [technical report](https://arxiv.org/abs/2408.05101).
 
 For the usage of the model files, please refer to our [GitHub](https://github.com/MooreThreads/MooER)
 
@@ -239,7 +239,7 @@ If you find MooER useful for your research, please 🌟 this repo and cite our w
 
 ```bibtex
 @article{liang2024mooer,
-  title   = {MooER: LLM-based Speech Recognition and Translation Models from Moore Threads},
+  title   = {MooER: LLM-based Speech Recognition and Translation Models from Moore Thread},
   author  = {Zhenlin Liang, Junhao Xu, Yi Liu, Yichao Hu, Jian Li, Yajun Zheng, Meng Cai, Hua Wang},
   journal = {arXiv preprint arXiv:2408.05101},
   url     = {https://arxiv.org/abs/2408.05101},