def au_control():
client = ali_speech.NlsClient()
# 设置输出日志信息的级别：DEBUG、INFO、WARNING、ERROR
client.set_log_level('INFO')
appkey = '8qMtpb3T6XdGvxAt'
token = 'b502dcb93b96459199a485741d195d84'
sec=1
i=0
while (sec==1):
if_control = CAM.get()
if(if_control != 1):
continue
get_audio(in_path)
sentence_result=process(client, appkey, token)
if sentence_result =='':
sentence_result='错误'
#word_list=jieba_devide(sentence_result)
#cmd=find_cmd(word_list)
elif '小车' in sentence_result:
cmd = find_cmd(sentence_result)
print('onesense:')
print(cmd)
control(cmd)
# time.sleep(1)#具体延迟看stm32的反应速度
#在此处开始调用串口传递函数传参cmd
return 0
async def speakvoice(key: str) -> str:
try:
data = getconfig()
filepath = os.path.dirname(__file__) + '\data.txt'
if (key == '鉴权'):
# 创建AcsClient实例
client = AcsClient(data["AccessKey"], data["AccessKeySecret"],
"cn-shanghai")
# 创建request，并设置参数
request = CommonRequest()
request.set_method('POST')
request.set_domain('nls-meta.cn-shanghai.aliyuncs.com')
request.set_version('2019-02-28')
request.set_action_name('CreateToken')
response = client.do_action_with_exception(request)
content = json.loads(response)
token = content['Token']['Id']
with open(filepath, "w") as fp:
fp.write(token)
return '[CQ:face,id=101]鉴权成功，你现在可以开始发语音了！'
with open(filepath, "r") as fp:
token = fp.read()
client = ali_speech.NlsClient()
# 设置输出日志信息的级别：DEBUG、INFO、WARNING、ERROR
client.set_log_level('INFO')
appkey = data['key']
text = key
audio_name = 'data/record/mymusic/' + '1.mp3'
process(client, appkey, token, text, audio_name)
return "[CQ:record,file=mymusic/1.mp3,magic=false]"
except (Exception):
return "[CQ:face,id=177]出了问题，好像不能获取到数据了，请重试！"
def run(self):
if self.正在运行 == 1: return False
self.正在运行 = 1
self.client = ali_speech.NlsClient()
self.client.set_log_level(
'WARNING') # 设置 client 输出日志信息的级别：DEBUG、INFO、WARNING、ERROR
self.tokenId = 0
self.tokenExpireTime = 0
# try:
self.识别器 = getAlibabaRecognizer(self.client,
self.appKey,
self.accessKeyId,
self.accessKeySecret,
self.tokenId,
self.tokenExpireTime,
线程=self)
if self.识别器 == False:
print('获取云端识别器出错\n')
self.引擎出错信号.emit()
return False
self.p = pyaudio.PyAudio() # 在 QThread 中引入 PyAudio 会使得 PySide2 图形界面阻塞
if self.持续录音:
threading.Thread(target=self.录音线程, args=[self.p]).start()
self.开始监听大写锁定键()
print("""引擎初始化完成\n""")
print('按住 CapsLock 键后开始说话...'.format(self.count))
keyboard.wait()
def text2speech(text, audio_name, voice='Aicheng', volumn=50, speech_rate=0,pitch_rate=0):
from toolkits.read_appkey_and_token import read_appkey, read_token
appkey = read_appkey()
token = read_token()
client = ali_speech.NlsClient()
client.set_log_level('INFO')
callback = MyCallback(audio_name)
synthesizer = client.create_synthesizer(callback)
synthesizer.set_appkey(appkey)
synthesizer.set_token(token)
synthesizer.set_voice(voice)
synthesizer.set_text(text)
synthesizer.set_format(TTSFormat.WAV)
synthesizer.set_sample_rate(TTSSampleRate.SAMPLE_RATE_16K)
synthesizer.set_volume(volumn)
synthesizer.set_speech_rate(speech_rate)
synthesizer.set_pitch_rate(pitch_rate)
try:
ret = synthesizer.start()
if ret < 0:
return ret
synthesizer.wait_completed()
except Exception as e:
print(e)
finally:
synthesizer.close()
def text2sound(text, src="./t2s.wav", dst="./t2s_cnv.wav"):
client = ali_speech.NlsClient()
# set the level of output log information: DEBUG, INFO, WARNING, ERROR
client.set_log_level('INFO')
appkey = APPKEY
token = TOKEN
process(client, appkey, token, text, src)
audio.upsample_wav(src=src, dst=dst, rate=44100)
def sound2text(src="s2t.wav", dst="s2t_cnv.wav"):
audio.upsample_wav(src=src, dst=dst, rate=ASRSampleRate.SAMPLE_RATE_16K)
client = ali_speech.NlsClient()
# set the level of output log information: DEBUG, INFO, WARNING, ERROR
client.set_log_level('INFO')
appkey = APPKEY
token = TOKEN
process(client=client, appkey=appkey, token=token, src=dst)
# multithread example
# process_multithread(client, appkey, token, 2)
return S2T_RESULT
def __init__(self):
self.client = ali_speech.NlsClient()
self.appkey = 'hPUZhaSWHkUp4NwM'
self.AKID = 'LTAI4FyftcdsKMv6JcKcTvqv'
self.AS = 'edjIOVArss0vPVSHKlJrjHh0XTwyHf'
self.token = self.get_aliyun_secret()
self.sound = [100, -100, 0]
self.yin = [
##通用场景##
'Xiaoyun', #0
'Ruoxi',
'Siqi',
'Sijia',
'Aiqi',
'Aijia', #1-5
'Ninger',
'Ruilin', #6,7
##客服场景##
'Siyue',
'Aiya',
'Aimei', # 8-10
'Aiyu',
'Aiyue',
'Aijing',
'Xiaomei',
'Aina', #11-15
'Yina',
'Sijing', #16,17
##儿童##
'Sitong',
'Xiaobei',
'Aitong',
'Aiwei',
'Aibao', #18-22
##英语##
'Abby',
'Emily',
'Luna',
'Wendy',
'Olivia', #23-27
'Lydia', # 英中双语
##方言##
# 粤；川；台；东北
'Shanshan',
'Xiaoyue',
'Qingqing',
'Cuijie', #29-32
]
self.she = 'Aixia' # 声优
self.mode = 'ab' # 追加模式写入文件
self.sounds_dir = r'D:\#My\GiData\Creation\Projects\Python\Gina\GiFun\GHuman\sounds'
async def AddVoice(key: str) -> str:
try:
filepath = os.path.dirname(__file__) + '\data.txt'
with open(filepath, "r") as fp:
token = fp.read()
t = time.time()
filename = str(int(t)) + ".mp3"
client = ali_speech.NlsClient()
# 设置输出日志信息的级别：DEBUG、INFO、WARNING、ERROR
client.set_log_level('INFO')
appkey = 'Fx9voCGViOO6mKJj'
text = key
audio_name = 'data/record/record/' + filename
process(client, appkey, token, text, audio_name)
return "[CQ:record,file=record/" + filename + ",magic=false]"
except (Exception):
return ""
client = AcsClient("****", "****", "cn-shanghai")
# 创建request，并设置参数。
request = CommonRequest()
request.set_method('POST')
request.set_domain('nls-meta.cn-shanghai.aliyuncs.com')
request.set_version('2019-02-28')
request.set_action_name('CreateToken')
response = client.do_action_with_exception(request)
print(response)
if __name__ == "__main__":
import time
start_time = time.time()
client = ali_speech.NlsClient()
# 设置输出日志信息的级别：DEBUG、INFO、WARNING、ERROR。
client.set_log_level('INFO')
appkey = '***'
token = '***'
text = "账单逾期请在今天内下载来分期诶皮皮查看并进行还款，关于您逾期的后果我已经跟您阐述清楚了，另外后续可能会到您当地法院控诉维权，到时给如果您个人生活以及如果您家人或同事查询到，对您声誉产生的所有后果影响由您个人承担，再见。"
audio_name = './aliyun.wav'
process(client, appkey, token, text, audio_name)
# 多线程示例
# process_multithread(client, appkey, token, 2)
print("time>>>>>>", time.time() - start_time)
'''
f1 = open("./data/000001-010000.txt")
lines = f1.readlines()
for idx in range(0, len(lines), 2):
def toVoice(appkey, token, text, audio_name, voice):
client = ali_speech.NlsClient()
# 设置输出日志信息的级别：DEBUG、INFO、WARNING、ERROR
client.set_log_level('INFO')
process_multithread(client, appkey, token, text, audio_name, voice)
