polishing

sherpa-onnx/csrc/hypothesis.h

@@ -30,7 +30,8 @@ struct Hypothesis {
 
   // The acoustic probability for each token in ys.
   // Used for keyword spotting task.
-  // For transducer mofified beam-search, this is filled with log_posterior scores.
+  // For transducer mofified beam-search and greedy-search,
+  // this is filled with log_posterior scores.
   std::vector<float> ys_probs;
 
   // lm_probs[i] contains the lm score for each token in ys.

sherpa-onnx/csrc/online-transducer-modified-beam-search-decoder.cc

@@ -60,7 +60,6 @@ void OnlineTransducerModifiedBeamSearchDecoder::StripLeadingBlanks(
   r->tokens = std::move(tokens);
   r->timestamps = std::move(hyp.timestamps);
 
-
   // export per-token scores
   r->ys_probs = std::move(hyp.ys_probs);
   r->lm_probs = std::move(hyp.lm_probs);

sherpa-onnx/python/sherpa_onnx/online_recognizer.py

@@ -503,6 +503,9 @@ def is_ready(self, s: OnlineStream) -> bool:
     def get_result(self, s: OnlineStream) -> str:
         return self.recognizer.get_result(s).text.strip()
 
+    def get_result_as_json_string(self, s: OnlineStream) -> str:
+        return self.recognizer.get_result(s).as_json_string()
+
     def tokens(self, s: OnlineStream) -> List[str]:
         return self.recognizer.get_result(s).tokens