def try_getstr():
pyrec.rec("1.wav")
pcm_file = wav2pcm.wav_to_pcm("1.wav")
# 识别本地文件
with open(pcm_file, "rb") as fp:
file_context = fp.read()
result = client.asr(file_context, 'pcm', 16000, {
'dev_pid': 1536,
})
print(result)
result = result.get('result', None)
if result:
print(result)
return result
def main():
while True:
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
pyrec.rec("1.wav") # 录音并生成wav文件,使用方式传入文件名
pcm_file = wav2pcm.wav_to_pcm("1.wav") # 将wav文件 转换成pcm文件 返回 pcm的文件名
# 读取文件 , 得到了PCM文件
with open(pcm_file, 'rb') as fp:
file_context = fp.read()
# 识别本地文件
res = client.asr(file_context, 'pcm', 16000, {
'dev_pid': 1536,
})
# 从字典里面获取"result"的value 列表中第1个元素,就是识别出来的字符串
res_str = res.get("result")[0]
print(res_str)
#识别出来的内容交给图灵机器人来回答
Q_str = FAQ.answer(res_str, TULING_KEY)
# 将转换出来的字符串进行语音合成
synth_file = "synth.mp3"
synth_context = client.synthesis(Q_str, "zh", 1, {
"vol": 6,
"spd": 2,
"pit": 3,
"per": 0
})
with open(synth_file, "wb") as f:
f.write(synth_context)
# 播放合成语音
pygame.mixer.init()
pygame.mixer.music.load(synth_file)
pygame.mixer.music.play()
count = 0
while (count < 9):
csx = pygame.mixer.music.get_busy()
if csx == 1:
time.sleep(5)
count = count + 1
else:
count = 10
pygame.mixer.music.stop()
def audio2text():
APP_ID = '11567018'
API_KEY = 'v8P6XA1I4A2EGnPRQmpt9D99'
SECRET_KEY = 'llbHhdFrRe2TFugk2RbNyCdx6yjLMjAq'
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
pyrec.rec("1.wav")
pcm = wav2pcm.wav_to_pcm("1.wav")
with open('1.pcm', 'rb') as fp:
file_context = fp.read()
data = client.asr(file_context, 'pcm', 16000, {'dev_pid': 1536})
if (data[u'err_msg'] == u'success.'):
with open('test.txt','w+') as f:
for i in data[u'result']:
print i
f.write(i.encode("utf-8"))
return True
else:
return False
#!/usr/bin/python
# -*- coding: utf-8 -*-
import pyrec
import wav2pcm
import baidu_ai
import play_mp3
#import FAQ
import opendb
while 1:
pyrec.rec("1.wav")
pcm_file = wav2pcm.wav_to_pcm("1.wav")
print(pcm_file)
res_str = baidu_ai.audio_to_text(pcm_file)
print(res_str)
#Q_str = FAQ.faq(res_str)
Q_str = opendb.poetmatch(res_str)
if Q_str != 0:
synth_file = baidu_ai.text_to_audio(Q_str)
#synth_file = baidu_ai.text_to_audio(res_str)
play_mp3.playmp3(synth_file)
#!/usr/bin/python3
import pyrec # 录音函数文件
import wav2pcm # wav转换pcm 函数文件
import baidu_ai # 语音合成函数,语音识别函数 文件
import playmp3 # 播放mp3 函数 文件
import FAQ
import tuling
import sizhi
pyrec.rec("1.wav") # 录音并生成wav文件,使用方式传入文件名
pcm_file = wav2pcm.wav_to_pcm("1.wav") # 将wav文件 转换成pcm文件 返回 pcm的文件名
res_str = baidu_ai.audio_to_text(pcm_file) # 将转换后的pcm音频文件识别成 文字 res_str
ter = sizhi.speak(res_str)
Q_str = str(ter)
synth_file = baidu_ai.text_to_audio(Q_str)
playmp3.play_mp3(synth_file)