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71 lines
3.1 KiB
Python
71 lines
3.1 KiB
Python
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"""
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azure voice service
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"""
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import json
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import os
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import time
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import azure.cognitiveservices.speech as speechsdk
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from aip import AipSpeech
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from bridge.reply import Reply, ReplyType
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from common.log import logger
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from common.tmp_dir import TmpDir
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from voice.voice import Voice
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from voice.audio_convert import get_pcm_from_wav
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from config import conf
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"""
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Azure voice
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主目录设置文件中需填写azure_voice_api_key和azure_voice_region
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查看可用的 voice： https://speech.microsoft.com/portal/voicegallery
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"""
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class AzureVoice(Voice):
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def __init__(self):
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try:
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curdir = os.path.dirname(__file__)
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config_path = os.path.join(curdir, "config.json")
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config = None
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if not os.path.exists(config_path): #如果没有配置文件，创建本地配置文件
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config = { "speech_synthesis_voice_name": "zh-CN-XiaoxiaoNeural", "speech_recognition_language": "zh-CN"}
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with open(config_path, "w") as fw:
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json.dump(config, fw, indent=4)
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else:
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with open(config_path, "r") as fr:
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config = json.load(fr)
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self.api_key = conf().get('azure_voice_api_key')
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self.api_region = conf().get('azure_voice_region')
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self.speech_config = speechsdk.SpeechConfig(subscription=self.api_key, region=self.api_region)
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self.speech_config.speech_synthesis_voice_name = config["speech_synthesis_voice_name"]
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self.speech_config.speech_recognition_language = config["speech_recognition_language"]
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except Exception as e:
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logger.warn("AzureVoice init failed: %s, ignore " % e)
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def voiceToText(self, voice_file):
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audio_config = speechsdk.AudioConfig(filename=voice_file)
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speech_recognizer = speechsdk.SpeechRecognizer(speech_config=self.speech_config, audio_config=audio_config)
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result = speech_recognizer.recognize_once()
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if result.reason == speechsdk.ResultReason.RecognizedSpeech:
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logger.info('[Azure] voiceToText voice file name={} text={}'.format(voice_file, result.text))
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reply = Reply(ReplyType.TEXT, result.text)
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else:
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logger.error('[Azure] voiceToText error, result={}'.format(result))
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reply = Reply(ReplyType.ERROR, "抱歉，语音识别失败")
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return reply
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def textToVoice(self, text):
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fileName = TmpDir().path() + '语音回复_' + str(int(time.time())) + '.mp3'
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audio_config = speechsdk.AudioConfig(filename=fileName)
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speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=self.speech_config, audio_config=audio_config)
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result = speech_synthesizer.speak_text(text)
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if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
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logger.info(
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'[Azure] textToVoice text={} voice file name={}'.format(text, fileName))
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reply = Reply(ReplyType.VOICE, fileName)
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else:
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logger.error('[Azure] textToVoice error, result={}'.format(result))
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reply = Reply(ReplyType.ERROR, "抱歉，语音合成失败")
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return reply
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