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import argparse | |
import deepspeech as ds | |
import numpy as np | |
import shlex | |
import subprocess | |
import sys | |
parser = argparse.ArgumentParser(description='DeepSpeech speech-to-text from microphone') | |
parser.add_argument('--model', required=True, | |
help='Path to the model (protocol buffer binary file)') | |
parser.add_argument('--alphabet', required=True, | |
help='Path to the configuration file specifying the alphabet used by the network') | |
parser.add_argument('--lm', nargs='?', | |
help='Path to the language model binary file') | |
parser.add_argument('--trie', nargs='?', | |
help='Path to the language model trie file created with native_client/generate_trie') | |
args = parser.parse_args() | |
LM_WEIGHT = 1.5 | |
VALID_WORD_COUNT_WEIGHT = 2.25 | |
N_FEATURES = 26 | |
N_CONTEXT = 9 | |
BEAM_WIDTH = 512 | |
print('Initializing model...') | |
model = ds.Model(args.model, N_FEATURES, N_CONTEXT, args.alphabet, BEAM_WIDTH) | |
if args.lm and args.trie: | |
model.enableDecoderWithLM(args.alphabet, | |
args.lm, | |
args.trie, | |
LM_WEIGHT, | |
VALID_WORD_COUNT_WEIGHT) | |
sctx = model.setupStream() | |
subproc = subprocess.Popen(shlex.split('rec -q -V0 -e signed -L -c 1 -b 16 -r 16k -t raw - gain -2'), | |
stdout=subprocess.PIPE, | |
bufsize=0) | |
print('You can start speaking now. Press Control-C to stop recording.') | |
try: | |
while True: | |
data = subproc.stdout.read(512) | |
model.feedAudioContent(sctx, np.frombuffer(data, np.int16)) | |
except KeyboardInterrupt: | |
print('Transcription: ', model.finishStream(sctx)) | |
subproc.terminate() | |
subproc.wait() |
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