Files
VRCT/transcription.py
misyaguziya 63ed087986 make modules
2023-06-12 12:49:37 +09:00

70 lines
2.9 KiB
Python

import pyaudio
import speech_recognition as sr
# VoiceRecognizer
class VoiceRecognizer():
def __init__(self):
self.input_device_dict = self.search_input_device()
self.r = sr.Recognizer()
self.mic = None
self.languages = [
"ja-JP","en-US","en-GB","af-ZA","ar-DZ","ar-BH","ar-EG","ar-IL","ar-IQ","ar-JO","ar-KW","ar-LB","ar-MA",
"ar-OM","ar-PS","ar-QA","ar-SA","ar-TN","ar-AE","eu-ES","bg-BG","ca-ES","cmn-Hans-CN","cmn-Hans-HK",
"cmn-Hant-TW","yue-Hant-HK","hr_HR","cs-CZ","da-DK","en-AU","en-CA","en-IN","en-IE","en-NZ","en-PH",
"en-ZA","fa-IR","fr-FR","fil-PH","gl-ES","de-DE","el-GR","fi-FI","he-IL","hi-IN","hu-HU","id-ID","is-IS",
"it-IT","it-CH","ko-KR","lt-LT","ms-MY","nl-NL","nb-NO","pl-PL","pt-BR","pt-PT","ro-RO","ru-RU","sr-RS",
"sk-SK","sl-SI","es-AR","es-BO","es-CL","es-CO","es-CR","es-DO","es-EC","es-SV","es-GT","es-HN","es-MX",
"es-NI","es-PA","es-PY","es-PE","es-PR","es-ES","es-UY","es-US","es-VE","sv-SE","th-TH","tr-TR","uk-UA",
"vi-VN","zu-ZA"
]
def search_input_device(self):
pa = pyaudio.PyAudio()
input_device_dict = {}
mic_cnt = 1
for i in range(pa.get_device_count()):
device = pa.get_device_info_by_index(i)
try:
device["name"] = device["name"].encode('shift_jis').decode('utf-8')
except:
device["name"] = device["name"].encode('utf-8').decode('utf-8')
if device["maxInputChannels"] > 0:
input_device_dict[f'No.{mic_cnt}:{device["name"]}'] = device["index"]
mic_cnt += 1
pa.terminate()
return input_device_dict
def set_mic(self, device_name, threshold=50, is_dynamic=False):
if device_name in [v for v in self.input_device_dict.keys()]:
index = self.input_device_dict[device_name]
self.mic = sr.Microphone(device_index=index)
self.r.energy_threshold = threshold
if is_dynamic:
with self.mic as source:
self.r.adjust_for_ambient_noise(source, 3.0)
return True
else:
return False
def init_mic(self, threshold=50, is_dynamic=False):
if isinstance(self.mic, sr.Microphone):
self.r.energy_threshold = threshold
if is_dynamic:
with self.mic as source:
self.r.adjust_for_ambient_noise(source, 3.0)
return True
else:
return False
def listen_voice(self, language):
if self.mic != None:
with self.mic as source:
audio = self.r.listen(source)
try:
text = self.r.recognize_google(audio, language=language)
return text
except:
return ""
else:
return False