inital commit

.gitignore

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+.venv
+audio
+model

left4dead_voices

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+#!/usr/bin/python3
+
+# download and put in folder 'audio': https://cloud.sublimity.de/s/2QP6PAWGTK57iSt
+# unpack and rename folder to 'model': https://alphacephei.com/vosk/models/vosk-model-en-us-0.22.zip
+
+from vosk import Model, KaldiRecognizer
+import sys
+import json
+import os
+from glob import glob
+from random import random
+import wave
+
+model = Model('model')
+
+for path in sorted(glob('audio/**/*.wav', recursive= True), key=lambda k: random()):
+    with wave.open(path, "rb") as wav:
+        frame_rate = wav.getframerate()
+        rec = KaldiRecognizer(model, 44100)
+
+        while True:
+            data = wav.readframes(2000)
+
+            if len(data) == 0:
+                break
+            else:
+                rec.AcceptWaveform(data)
+
+        print(f'{path} ({frame_rate}):'.ljust(70, ' '), json.loads(rec.FinalResult())['text'])

test

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+#!/usr/bin/python3
+
+from vosk import Model, KaldiRecognizer
+import sys
+import json
+import os
+import wave
+
+model_path = "model"
+
+if not os.path.exists(model_path):
+    print ("Please download the model from https://github.com/alphacep/kaldi-android-demo/releases and unpack as 'model' in the current folder.")
+    exit (1)
+
+model = Model(model_path)
+
+with wave.open(sys.argv[1], "rb") as wf:
+    frame_rate = wf.getframerate()
+
+    rec = KaldiRecognizer(model, frame_rate)
+
+    while True:
+        data = wf.readframes(2000)
+        if len(data) == 0:
+            break
+        if rec.AcceptWaveform(data):
+            print(json.loads(rec.Result()))
+        else:
+            print(json.loads(rec.PartialResult()))
+
+    print(json.loads(rec.FinalResult()))