Update README.md

README.md

@@ -1,3 +1,37 @@
----
-license: mit
----
+---
+license: mit
+datasets:
+- openslr/librispeech_asr
+language:
+- en
+base_model:
+- HuggingFaceTB/SmolLM2-360M-Instruct
+tags:
+- audio
+- speech
+- tts
+- asr
+- unified_model
+---
+
+## 1. Introduction
+
+This work introduces MonoSpeech, a novel approach that integrates autoregression and flow matching 
+within a transformer-based framework for speech unified understanding and generation. 
+MonoSpeech is designed to achieve both speech comprehension and generation capabilities through a unified model trained in a single stage. 
+Our experiments demonstrate that MonoSpeech delivers strong performance for both automatic speech recognition and zero-shot speech synthesis tasks. 
+By combining autoregression and flow matching, MonoSpeech establishes a foundation for expanding to additional audio understanding and generation tasks using the paradigm in the future.
+
+[**Github Repository**](https://github.com/gwh22/MonoSpeech)
+
+<div align="center">
+<img alt="image" src="monospeech.pdf" style="width:90%;">
+</div>
+
+
+
+## 2. Quick Start
+
+Please refer to [**Github Repository**](https://github.com/gwh22/MonoSpeech)
+
+