README.md aktualisiert
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README.md
93
README.md
@@ -262,3 +262,96 @@ while True:
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print(rec.FinalResult())
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print(rec.FinalResult())
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```
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```
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### microphone.py
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```
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#!/usr/bin/env python3
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# prerequisites: as described in https://alphacephei.com/vosk/install and also python module `sounddevice` (simply run command `pip install sounddevice`)
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# Example usage using Dutch (nl) recognition model: `python test_microphone.py -m nl`
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# For more help run: `python test_microphone.py -h`
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import argparse
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import queue
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import sys
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import sounddevice as sd
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from vosk import Model, KaldiRecognizer
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q = queue.Queue()
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def int_or_str(text):
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"""Helper function for argument parsing."""
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try:
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return int(text)
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except ValueError:
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return text
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def callback(indata, frames, time, status):
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"""This is called (from a separate thread) for each audio block."""
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if status:
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print(status, file=sys.stderr)
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q.put(bytes(indata))
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parser = argparse.ArgumentParser(add_help=False)
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parser.add_argument(
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"-l", "--list-devices", action="store_true",
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help="show list of audio devices and exit")
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args, remaining = parser.parse_known_args()
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if args.list_devices:
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print(sd.query_devices())
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parser.exit(0)
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parser = argparse.ArgumentParser(
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description=__doc__,
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formatter_class=argparse.RawDescriptionHelpFormatter,
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parents=[parser])
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parser.add_argument(
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"-f", "--filename", type=str, metavar="FILENAME",
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help="audio file to store recording to")
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parser.add_argument(
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"-d", "--device", type=int_or_str,
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help="input device (numeric ID or substring)")
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parser.add_argument(
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"-r", "--samplerate", type=int, help="sampling rate")
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parser.add_argument(
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"-m", "--model", type=str, help="language model; e.g. en-us, fr, nl; default is en-us")
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args = parser.parse_args(remaining)
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try:
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if args.samplerate is None:
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device_info = sd.query_devices(args.device, "input")
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# soundfile expects an int, sounddevice provides a float:
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args.samplerate = int(device_info["default_samplerate"])
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if args.model is None:
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model = Model(lang="de") #"en-us")
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else:
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model = Model(lang=args.model)
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if args.filename:
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dump_fn = open(args.filename, "wb")
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else:
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dump_fn = None
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with sd.RawInputStream(samplerate=args.samplerate, blocksize = 8000, device=args.device,
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dtype="int16", channels=1, callback=callback):
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print("#" * 80)
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print("Press Ctrl+C to stop the recording")
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print("#" * 80)
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rec = KaldiRecognizer(model, args.samplerate)
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while True:
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data = q.get()
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if rec.AcceptWaveform(data):
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print(rec.Result())
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else:
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print(rec.PartialResult())
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if dump_fn is not None:
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dump_fn.write(data)
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except KeyboardInterrupt:
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print("\nDone")
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parser.exit(0)
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except Exception as e:
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parser.exit(type(e).__name__ + ": " + str(e))
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```
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