add tail padding for sherpa-onnx-vad-with-online-asr (#2408)

@@ -138,6 +138,9 @@ for a list of pre-trained models to download.
     samples = std::move(out_samples);
     samples = std::move(out_samples);
     fprintf(stderr, "Resampling done\n");
     fprintf(stderr, "Resampling done\n");
   }
   }
+  const float tail_padding_len =  1.28;  // related to model chunk-size
+  std::vector<float> tail_paddings(
+      static_cast<int>(tail_padding_len * 16000));
 
 
   fprintf(stderr, "Started!\n");
   fprintf(stderr, "Started!\n");
   int32_t window_size = vad_config.ten_vad.model.empty()
   int32_t window_size = vad_config.ten_vad.model.empty()
@@ -168,6 +171,7 @@ for a list of pre-trained models to download.
       float end_time = start_time + duration;
       float end_time = start_time + duration;
       auto s = recognizer.CreateStream();
       auto s = recognizer.CreateStream();
       s->AcceptWaveform(16000, segment.samples.data(), segment.samples.size());
       s->AcceptWaveform(16000, segment.samples.data(), segment.samples.size());
+      s->AcceptWaveform(16000, tail_paddings.data(), tail_paddings.size());
       s->InputFinished();
       s->InputFinished();
       while (recognizer.IsReady(s.get())) {
       while (recognizer.IsReady(s.get())) {
         recognizer.DecodeStream(s.get());
         recognizer.DecodeStream(s.get());