The bug regarding novoapi for Python 3.6 is solved. The detail can be found in novoapi_for_python3x/readme.txt

reus-test/reus-test.py

@@ -0,0 +1,119 @@
+#!/usr/bin/env python
+import os
+os.chdir(r'C:\Users\Aki\source\repos\acoustic_model\acoustic_model')
+
+import argparse
+import json
+
+from novoapi.backend import session
+
+p = argparse.ArgumentParser()
+p.add_argument("--user", default='martijn.wieling')
+p.add_argument("--password", default='xxxxx')
+args = p.parse_args()
+
+rec = session.Recognizer(grammar_version="1.0", lang="nl", snodeid=101, user=args.user, password=args.password, keepopen=True)
+
+grammar = {
+  "type": "confusion_network",
+  "version": "1.0",
+  "data": {
+    "kind": "sequence",
+    "elements": [
+      {
+        "kind": "word",
+        "pronunciation": [
+          {
+            "phones": [
+              "r",
+              "eu0",
+              "s"
+            ],
+            "id": 0
+          }
+          ,
+          {
+            "phones": [
+              "m",
+              "a0",
+              "n"
+            ],
+            "id": 1
+          }
+		   ,
+          {
+            "phones": [
+              "m",
+              "a0",
+              "n",
+              "t",
+              "s",
+              "y",
+              "ax"
+            ],
+            "id": 2
+          }
+        ],
+        "label": "reus"
+      }
+    ]
+  },
+  "return_objects": [
+    "grammar"
+  ],
+  "phoneset": "novo70"
+}
+
+res = rec.setgrammar(grammar)
+#print "Set grammar result", res
+
+
+## === novoapi/backend/session.py ===
+#import wave
+#import time
+#from novoapi.backend.session import rpcid, segmentation
+
+#wavf = "reus1008-reus.wav"
+#w = wave.open(wavf, 'r')
+#nchannels, sampwidth, framerate, nframes, comptype, compname = w.getparams()
+#buf = w.readframes(nframes)
+#w.close()
+
+#buffer_size = 4096
+#nbytes_sent = 0
+#start = time.time()
+#for j in range(0, len(buf), buffer_size):
+#    audio_packet = buf[j:j + buffer_size]
+#    nbytes_sent += len(audio_packet)
+#    rec.conn.send_binary(audio_packet)
+#rec.conn.send(json.dumps({"jsonrpc": "2.0", "method": "get_result", "id": rpcid.next()}))
+#print(rpcid.next())
+#rec.last_message = rec.conn.recv() 
+#message = json.loads(rec.last_message)
+#result = session.segmentation(message["result"]["words"])
+#result.export()
+## ====================================
+
+def result2pronunciation(result, word):
+	#result_ = res.export()[1]
+	result_ = [result[i] for i in range(len(result)) if result[i]['label'] == word] 
+	llh = result_[0]['llh']
+	phones = result_[0]['phones']
+	pronunciation = [phone['label'] for phone in phones]
+	return pronunciation, llh
+
+
+res = rec.recognize_wav("reus1008-reus.wav")
+#print "\n\n\nThe pronounced word in reus1008-reus.wav is: REUS\n\n"
+#print "Recognition result:", json.dumps(res.export(), indent=4)
+result2pronunciation(res.export(), 'reus')
+
+#print "\n\n\nThe pronounced word in reus1167-man.wav is: MAN\n\n"
+res2 = rec.recognize_wav("reus1167-man.wav")
+#print "Recognition result:", json.dumps(res2.export(), indent=4)
+result2pronunciation(res2.export(), 'reus')
+
+#print "\n\n\nThe pronounced word in reus3768-mantsje.wav is: MANTSJE\n\n"
+res3 = rec.recognize_wav("reus3768-mantsje.wav")
+#print "Recognition result:", json.dumps(res3.export(), indent=4)
+result2pronunciation(res3.export(), 'reus')