""" azure voice service """ import json import os import time import azure.cognitiveservices.speech as speechsdk from langid import classify from bridge.reply import Reply, ReplyType from common.log import logger from common.tmp_dir import TmpDir from config import conf from voice.voice import Voice """ Azure voice 主目录设置文件中需填写azure_voice_api_key和azure_voice_region 查看可用的 voice: https://speech.microsoft.com/portal/voicegallery """ class AzureVoice(Voice): def __init__(self): try: curdir = os.path.dirname(__file__) config_path = os.path.join(curdir, "config.json") config = None if not os.path.exists(config_path): # 如果没有配置文件,创建本地配置文件 config = { "speech_synthesis_voice_name": "zh-CN-XiaoxiaoNeural", # 识别不出时的默认语音 "auto_detect": True, # 是否自动检测语言 "speech_synthesis_zh": "zh-CN-XiaozhenNeural", "speech_synthesis_en": "en-US-JacobNeural", "speech_synthesis_ja": "ja-JP-AoiNeural", "speech_synthesis_ko": "ko-KR-SoonBokNeural", "speech_synthesis_de": "de-DE-LouisaNeural", "speech_synthesis_fr": "fr-FR-BrigitteNeural", "speech_synthesis_es": "es-ES-LaiaNeural", "speech_recognition_language": "zh-CN", } with open(config_path, "w") as fw: json.dump(config, fw, indent=4) else: with open(config_path, "r") as fr: config = json.load(fr) self.config = config self.api_key = conf().get("azure_voice_api_key") self.api_region = conf().get("azure_voice_region") self.speech_config = speechsdk.SpeechConfig(subscription=self.api_key, region=self.api_region) self.speech_config.speech_synthesis_voice_name = self.config["speech_synthesis_voice_name"] self.speech_config.speech_recognition_language = self.config["speech_recognition_language"] except Exception as e: logger.warn("AzureVoice init failed: %s, ignore " % e) def voiceToText(self, voice_file): audio_config = speechsdk.AudioConfig(filename=voice_file) speech_recognizer = speechsdk.SpeechRecognizer(speech_config=self.speech_config, audio_config=audio_config) result = speech_recognizer.recognize_once() if result.reason == speechsdk.ResultReason.RecognizedSpeech: logger.info("[Azure] voiceToText voice file name={} text={}".format(voice_file, result.text)) reply = Reply(ReplyType.TEXT, result.text) else: cancel_details = result.cancellation_details logger.error("[Azure] voiceToText error, result={}, errordetails={}".format(result, cancel_details)) reply = Reply(ReplyType.ERROR, "抱歉,语音识别失败") return reply def textToVoice(self, text): if self.config.get("auto_detect"): lang = classify(text)[0] key = "speech_synthesis_" + lang if key in self.config: logger.info("[Azure] textToVoice auto detect language={}, voice={}".format(lang, self.config[key])) self.speech_config.speech_synthesis_voice_name = self.config[key] else: self.speech_config.speech_synthesis_voice_name = self.config["speech_synthesis_voice_name"] else: self.speech_config.speech_synthesis_voice_name = self.config["speech_synthesis_voice_name"] # Avoid the same filename under multithreading fileName = TmpDir().path() + "reply-" + str(int(time.time())) + "-" + str(hash(text) & 0x7FFFFFFF) + ".wav" audio_config = speechsdk.AudioConfig(filename=fileName) speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=self.speech_config, audio_config=audio_config) result = speech_synthesizer.speak_text(text) if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted: logger.info("[Azure] textToVoice text={} voice file name={}".format(text, fileName)) reply = Reply(ReplyType.VOICE, fileName) else: cancel_details = result.cancellation_details logger.error("[Azure] textToVoice error, result={}, errordetails={}".format(result, cancel_details.error_details)) reply = Reply(ReplyType.ERROR, "抱歉,语音合成失败") return reply