58 lines
1.3 KiB
Python
58 lines
1.3 KiB
Python
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import json
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import os
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import wave
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from vosk import Model, KaldiRecognizer, SetLogLevel
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from jarvis import get_path_file
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SetLogLevel(-1)
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model, rec = None, None
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def loadModel():
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global model, rec
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if not os.path.exists("model"):
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print(
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"Please download the model from https://alphacephei.com/vosk/models and unpack as 'model' in the current folder.")
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exit(1)
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print("Loading model...")
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model = Model("model")
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rec = KaldiRecognizer(model, 16000)
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rec.SetWords(True)
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print("Model loaded successfully.")
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def process_audio_file(file):
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global model, rec
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print("File : " + file)
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wf = wave.open(file, "rb")
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if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NONE":
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print("Audio file must be WAV format mono PCM.")
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exit(1)
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while True:
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data = wf.readframes(4000)
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if len(data) == 0:
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break
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if rec.AcceptWaveform(data):
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pass
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# print(rec.Result())
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else:
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pass
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# print(rec.PartialResult())
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print(json.loads(rec.FinalResult())['text'])
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if __name__ == '__main__':
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loadModel()
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path = os.path.dirname(get_path_file.__file__) + "\\audio_samples\\"
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files = ["test_jarvis_examples_french.wav"]
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for file in files:
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process_audio_file(path + file)
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