def log(message, log_level="warning"):
set_debug = config.ConfigDeepSpeech().get_config("debug")
if set_debug == "1":
logging.getLogger(None).setLevel(logging.DEBUG)
if log_level == "debug":
logging.debug(message)
elif log_level == "info":
logging.info(message)
elif log_level == "error":
logging.error(message)
else:
logging.warning(message)
class SpeechServerMain(AppConfig):
name = 'speech_server_main'
conf = config.ConfigDeepSpeech()
model = conf.get_config('model')
lm = conf.get_config('lm')
trie = conf.get_config('trie')
ds = Model(model, BEAM_WIDTH)
if lm and trie:
ds.enableDecoderWithLM(lm, trie, LM_ALPHA, LM_BETA)
def ready(self):
print("Deepspeech Server Initialization")
class SpeechServerMain(AppConfig):
name = 'speech_server_main'
conf = config.ConfigDeepSpeech()
model = conf.get_config('model')
alphabet = conf.get_config('alphabet')
lm = conf.get_config('lm')
trie = conf.get_config('trie')
ds = Model(model, N_FEATURES, N_CONTEXT, alphabet, BEAM_WIDTH)
if lm and trie:
ds.enableDecoderWithLM(alphabet, lm, trie, LM_WEIGHT,
VALID_WORD_COUNT_WEIGHT)
def ready(self):
print("Deepspeech Server Initialization")
'''
Channel consumers
'''
from datetime import datetime
from speech_server_main.config import config
from .deepspeech import deepspeech as ds
import os, re
conf = config.ConfigDeepSpeech()
audiofiledir = conf.get_config('audiofiledir')
def ws_connect(message):
# Accept the incoming connection
message.reply_channel.send({"accept": True})
print('websocket connected')
def ws_message(message):
print('ws message received')
file_name = audiofiledir + 'ws_generated' + datetime.now().strftime(
'%y-%m-%d_%H%M%S')
with open(file_name, 'wb') as fp:
fp.write(message.content['bytes'])
fp.flush()
msg = ds.stt(file_name)
message.reply_channel.send({'text': msg})
import scipy.io.wavfile as wav
from speech_server_main.apps import SpeechServerMain
from speech_server_main.config import config
from speech_server_main import logging
audiolength = float(config.ConfigDeepSpeech().get_config("audiofilelength"))
def stt(audioPath, from_websocket=False):
try:
logging.log("Inside deepspeech.stt function", "info")
text = ""
fs, audio = wav.read(audioPath)
if fs == 16000:
if from_websocket or check_audio_lenth(len(audio)):
logging.log("Starting transcribing...", "info")
text = SpeechServerMain.ds.stt(audio, fs)
logging.log("Audio transcribed.", "info")
elif not from_websocket:
text = "Audio should be less than " + str(audiolength) + " seconds."
else:
text = "Frame rate of submitted audio should be 16000 kHz."
#print('after inference: %s' % text)
except Exception as err:
logging.log("exception occurred: {0}".format(err), "error")
text = "Some error occurred while transcribing."
return text
def check_audio_lenth(len_audio):
len_audio = len_audio / 16000
if len_audio > audiolength: