def process_input_file(conn, options, out_queue, background=True):
"""Given socket/pipe process audio input and push to out_queue"""
log.info("Starting recognition on %s", conn)
model = Model(options.model,)
if options.beam_width:
model.setBeamWidth(options.beam_width)
desired_sample_rate = model.sampleRate()
if desired_sample_rate != defaults.SAMPLE_RATE:
log.error("Model expects rate of %s", desired_sample_rate)
# if options.scorer:
# model.enableExternalScorer(options.scorer)
# else:
log.info("Disabling the built-in scorer")
model.disableExternalScorer()
out_queue.put({'partial': False, 'final': False, 'message': ['Connected']})
if background:
thread = threading.Thread(target=run_recognition, args=(model, conn, out_queue))
thread.setDaemon(background)
thread.start()
else:
run_recognition(model, conn, out_queue)
def process_input_file(conn, options, out_queue, background=True):
# TODO: allow socket connections from *clients* to choose
# the model rather than setting it in the daemon...
# to be clear, *output* clients, not audio sinks
log.info("Starting recognition on %s", conn)
model = Model(options.model,)
if options.beam_width:
model.setBeamWidth(options.beam_width)
desired_sample_rate = model.sampleRate()
if desired_sample_rate != defaults.SAMPLE_RATE:
log.error("Model expects rate of %s", desired_sample_rate)
if options.scorer:
model.enableExternalScorer(options.scorer)
else:
log.info("Disabling the scorer")
model.disableExternalScorer()
if background:
t = threading.Thread(target=run_recognition, args=(model, conn, out_queue))
t.setDaemon(background)
t.start()
else:
run_recognition(model, conn, out_queue)
