Fix VAD+ASR C++ example. (#2335)

It was not able to handle short audios., e.g., 2.1 seconds.

@@ -303,6 +303,66 @@ def get_models():
             popd
             """,
         ),
+        Model(
+            model_name="sherpa-onnx-streaming-zipformer-ctc-zh-int8-2025-06-30",
+            idx=17,
+            lang="zh",
+            short_name="large_zipformer_int8",
+            rule_fsts="itn_zh_number.fst",
+            cmd="""
+            if [ ! -f itn_zh_number.fst ]; then
+              curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
+            fi
+            pushd $model_name
+            rm -fv bpe.model
+
+            rm -rf test_wavs
+
+            ls -lh
+
+            popd
+            """,
+        ),
+        Model(
+            model_name="sherpa-onnx-streaming-zipformer-ctc-zh-2025-06-30",
+            idx=18,
+            lang="zh",
+            short_name="large_zipformer",
+            rule_fsts="itn_zh_number.fst",
+            cmd="""
+            if [ ! -f itn_zh_number.fst ]; then
+              curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
+            fi
+            pushd $model_name
+            rm -fv bpe.model
+
+            rm -rf test_wavs
+
+            ls -lh
+
+            popd
+            """,
+        ),
+        Model(
+            model_name="sherpa-onnx-streaming-zipformer-ctc-fp16-zh-2025-06-30",
+            idx=19,
+            lang="zh",
+            short_name="large_zipformer_fp16",
+            rule_fsts="itn_zh_number.fst",
+            cmd="""
+            if [ ! -f itn_zh_number.fst ]; then
+              curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/itn_zh_number.fst
+            fi
+            pushd $model_name
+            rm -fv bpe.model
+
+            rm -rf test_wavs
+
+            ls -lh
+
+            popd
+            """,
+        ),
     ]
 
     return models

@@ -186,13 +186,15 @@ for a list of pre-trained models to download.
   fprintf(stderr, "Started!\n");
   int32_t window_size = vad_config.silero_vad.window_size;
   int32_t i = 0;
-  while (i + window_size < samples.size()) {
+  while (i < samples.size()) {
+    if (i + window_size <= samples.size()) {
       vad->AcceptWaveform(samples.data() + i, window_size);
-    i += window_size;
-    if (i >= samples.size()) {
+    } else {
       vad->Flush();
     }
 
+    i += window_size;
+
     while (!vad->Empty()) {
       const auto &segment = vad->Front();
       float duration = segment.samples.size() / 16000.;

@@ -395,6 +395,36 @@ fun getModelConfig(type: Int): OnlineModelConfig? {
             )
         }
 
+        17 -> {
+            val modelDir = "sherpa-onnx-streaming-zipformer-ctc-zh-int8-2025-06-30"
+            return OnlineModelConfig(
+                zipformer2Ctc = OnlineZipformer2CtcModelConfig(
+                    model = "$modelDir/model.int8.onnx",
+                ),
+                tokens = "$modelDir/tokens.txt",
+            )
+        }
+
+        18 -> {
+            val modelDir = "sherpa-onnx-streaming-zipformer-ctc-zh-2025-06-30"
+            return OnlineModelConfig(
+                zipformer2Ctc = OnlineZipformer2CtcModelConfig(
+                    model = "$modelDir/model.onnx",
+                ),
+                tokens = "$modelDir/tokens.txt",
+            )
+        }
+
+        19 -> {
+            val modelDir = "sherpa-onnx-streaming-zipformer-ctc-zh-fp16-2025-06-30"
+            return OnlineModelConfig(
+                zipformer2Ctc = OnlineZipformer2CtcModelConfig(
+                    model = "$modelDir/model.fp16.onnx",
+                ),
+                tokens = "$modelDir/tokens.txt",
+            )
+        }
+
         1000 -> {
             val modelDir = "sherpa-onnx-rk3588-streaming-zipformer-bilingual-zh-en-2023-02-20"
             return OnlineModelConfig(