diff --git a/voice_recognition.py b/voice_recognition.py
index 421a540..4915763 100644
--- a/voice_recognition.py
+++ b/voice_recognition.py
@@ -126,10 +126,11 @@ class SRBuffer(voice_recv.AudioSink):
 
 
 class Transcriber(commands.Cog):
-    def __init__(self, bot):
+    def __init__(self, bot, worker,  queue):
         self.bot = bot
         self.threads = []
-        self.comm_queue = Queue()
+        self.comm_queue = queue
+        self.worker = worker
         self.wsink = SRBuffer(self.comm_queue)
     async def transcribe(self,file_url):
         config = aai.TranscriptionConfig(speaker_labels=True, language_code="pl")
@@ -156,7 +157,7 @@ class Transcriber(commands.Cog):
             logger.info(self.bot.voice_clients)
             self.output_handler.work = True
             self.output_handler.scan_loop.start()
-
+            self.worker.start()
             vc.listen(self.wsink)
 
     @tasks.loop(seconds=0.5)
@@ -208,27 +209,22 @@ class Transcriber(commands.Cog):
 
         self.output_handler.work = False
         self.check_data.stop()
+        self.worker.stop()
         await ctx.voice_client.disconnect()
 
-def transcribe_output_queue():
+def transcribe_output_queue(queue):
     while True:
-        time.sleep(10.0)
+        queue.get()
         logger.info("PING")
 
 async def setup(bot):
     logger = logging.getLogger("discord")
     logger.info("Loading voice transcribed module phase one")
-    threads = []
-    threads.append(threading.Thread(target=transcribe_output_queue))
+    worker = threading.Thread(target=transcribe_output_queue)
     logger.info("Loading voice transcribed phase two")
-
-    for worker in threads:
-        worker.start()
+    queue = Queue()
     logger.info("Loading voice transcribed module phase three")
-
-
-    await bot.add_cog(Transcriber(bot))
-
+    await bot.add_cog(Transcriber(bot, worker, queue))
     logger.info("Loading voice transcribed module done")
 
 # 1. zapisuj kwestie człowieka do pliku w którym będzie można stwierdzić kto co powiedział (callback z basicaudio + write z wavesinka). Zamykaj plik i wysyłaj do transkrypcji w momencie ciszy dłuższej niż 0.5s. Jeśli człowiek nadaje cały czas dawaj sygnał że nie można go transkrybować - i wyłaczaj zapis.