diff --git a/README.md b/README.md
index ffd0c8a..d6e6467 100644
--- a/README.md
+++ b/README.md
@@ -415,10 +415,54 @@ VoxCPM2 achieves state-of-the-art or comparable results on public zero-shot and
 
 </details>
 
+
+### Internal 30-Language ASR Benchmark
+
+We additionally run an internal multilingual intelligibility benchmark with **30 languages × 500 samples**. ASR transcription is evaluated via **Gemini 3.1 Flash Lite API**.
+
+<details>
+<summary><b>Internal 30-Language ASR Benchmark (click to expand)</b></summary>
+
+| Language | Metric | VoxCPM2 | Fish S2-Pro |
+|---|---:|---:|---:|
+| ar (Arabic) | CER | 1.23% | 0.30% |
+| da (Danish) | WER | 2.70% | 3.52% |
+| de (German) | WER | 0.96% | 0.64% |
+| el (Greek) | WER | 3.17% | 4.61% |
+| en (English) | WER | 0.42% | 1.03% |
+| es (Spanish) | WER | 1.33% | 0.64% |
+| fi (Finnish) | WER | 2.24% | 2.80% |
+| fr (French) | WER | 2.16% | 2.34% |
+| he (Hebrew) | CER | 2.98% | 15.27% |
+| hi (Hindi) | CER | 0.79% | 0.91% |
+| id (Indonesian) | WER | 1.36% | 1.68% |
+| it (Italian) | WER | 1.65% | 1.08% |
+| ja (Japanese) | CER | 2.40% | 1.82% |
+| km (Khmer) | CER | 2.05% | 75.15% |
+| ko (Korean) | CER | 0.95% | 0.29% |
+| lo (Lao) | CER | 1.90% | 87.40% |
+| ms (Malay) | WER | 1.75% | 1.41% |
+| my (Burmese) | CER | 1.42% | 85.27% |
+| nl (Dutch) | WER | 1.25% | 1.68% |
+| no (Norwegian) | WER | 2.49% | 3.76% |
+| pl (Polish) | WER | 1.90% | 1.65% |
+| pt (Portuguese) | WER | 1.48% | 1.49% |
+| ru (Russian) | WER | 0.90% | 0.86% |
+| sv (Swedish) | WER | 2.22% | 2.63% |
+| sw (Swahili) | CER | 1.07% | 2.02% |
+| th (Thai) | CER | 0.94% | 1.92% |
+| tl (Tagalog) | WER | 2.63% | 4.00% |
+| tr (Turkish) | WER | 1.65% | 1.65% |
+| vi (Vietnamese) | WER | 1.56% | 5.56% |
+| zh (Chinese) | CER | 0.92% | 1.02% |
+| Average (30 languages) |  | **1.68%** | - |
+
+</details>
+
 ### InstructTTSEval
 
 <details>
-<summary><b>Instruction-Guided Voice Design Results</b></summary>
+<summary><b>Instruction-Guided Voice Design Results (click to expand)</b></summary>
 
 | Model | InstructTTSEval-ZH | | | InstructTTSEval-EN | | |
 |-------|:---:|:----:|:----:|:----:|:----:|:----:|
diff --git a/README_zh.md b/README_zh.md
index 6cc3b6b..89e1f43 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -414,10 +414,54 @@ VoxCPM2 在公开的零样本和可控 TTS 基准测试中取得了 SOTA 或可
 
 </details>
 
+### Internal 30-Language ASR Benchmark
+
+我们额外进行了内部多语言可懂度评测：**30 语种 × 500 样本**，ASR 转写评估使用 **Gemini 3.1 Flash Lite API**。
+
+<details>
+<summary><b>内部30语种评测集ASR结果（点击展开）</b></summary>
+
+| 语言 | 指标 | VoxCPM2 | Fish S2-Pro |
+|---|---:|---:|---:|
+| ar (阿拉伯语) | CER | 1.23% | 0.30% |
+| da (丹麦语) | WER | 2.70% | 3.52% |
+| de (德语) | WER | 0.96% | 0.64% |
+| el (希腊语) | WER | 3.17% | 4.61% |
+| en (英语) | WER | 0.42% | 1.03% |
+| es (西班牙语) | WER | 1.33% | 0.64% |
+| fi (芬兰语) | WER | 2.24% | 2.80% |
+| fr (法语) | WER | 2.16% | 2.34% |
+| he (希伯来语) | CER | 2.98% | 15.27% |
+| hi (印地语) | CER | 0.79% | 0.91% |
+| id (印尼语) | WER | 1.36% | 1.68% |
+| it (意大利语) | WER | 1.65% | 1.08% |
+| ja (日语) | CER | 2.40% | 1.82% |
+| km (高棉语) | CER | 2.05% | 75.15% |
+| ko (韩语) | CER | 0.95% | 0.29% |
+| lo (老挝语) | CER | 1.90% | 87.40% |
+| ms (马来语) | WER | 1.75% | 1.41% |
+| my (缅甸语) | CER | 1.42% | 85.27% |
+| nl (荷兰语) | WER | 1.25% | 1.68% |
+| no (挪威语) | WER | 2.49% | 3.76% |
+| pl (波兰语) | WER | 1.90% | 1.65% |
+| pt (葡萄牙语) | WER | 1.48% | 1.49% |
+| ru (俄语) | WER | 0.90% | 0.86% |
+| sv (瑞典语) | WER | 2.22% | 2.63% |
+| sw (斯瓦希里语) | CER | 1.07% | 2.02% |
+| th (泰语) | CER | 0.94% | 1.92% |
+| tl (菲律宾语) | WER | 2.63% | 4.00% |
+| tr (土耳其语) | WER | 1.65% | 1.65% |
+| vi (越南语) | WER | 1.56% | 5.56% |
+| zh (中文) | CER | 0.92% | 1.02% |
+| 平均（30 语种） |  | **1.68%** | - |
+
+</details>
+
+
 ### InstructTTSEval
 
 <details>
-<summary><b>指令驱动音色设计结果</b></summary>
+<summary><b>指令驱动音色设计结果 (点击展开)</b></summary>
 
 | Model | InstructTTSEval-ZH | | | InstructTTSEval-EN | | |
 |-------|:---:|:----:|:----:|:----:|:----:|:----:|