Update README.md

README.md

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 license: apache-2.0
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-## 📊 WSYue-ASR-eval: Cantonese ASR Benchmark
+# WSYue-ASR-eval: Cantonese ASR Benchmark
 
 To address the unique linguistic characteristics of Cantonese, we propose **WSYue-eval**, a comprehensive benchmark encompassing both **ASR** and **TTS** tasks. This integrated evaluation framework is specifically tailored to assess model performance across critical dimensions of Cantonese language processing.  
 
-### 🔹 ASR Benchmark
-As a representative task of speech understanding, we developed the **WSYue-ASR-eval** test set.  
-- Annotated through multiple rounds of **manual labeling**  
-- Includes rich tags such as **text transcription, emotion, age, and gender**  
-- Covers **Cantonese-English code-switching** and **multi-domain conditions**  
-- Enables comprehensive evaluation across varying speech lengths  
+## ASR Benchmark
+As a representative task of speech understanding, we developed the **WSYue-ASR-eval** test set for the ASR task.  
+- Annotated through multiple rounds of manual labeling.  
+- Includes rich tags such as text transcription, emotion, age, and gender.  
+- Covers Cantonese-English code-switching and multi-domain conditions.
+- Enables comprehensive evaluation across varying speech lengths.  
 
-### 📑 WSYue-ASR-eval Subsets
+## WSYue-ASR-eval Subsets
 | Set   | Duration | Speakers | Hours |
 |-------|----------|----------|-------|
 | Short | 0–10 s   | 2861     | 9.46  |
 | Long  | 10–30 s  | 838      | 1.97  |
 
-Total: **~11.4 hours**, with diverse speakers and scenarios.
+Total: 11.4 hours, with diverse speakers and scenarios.