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asr.py
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asr.py
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# coding=utf-8
import sys
import json
import base64
import time
import requests
IS_PY3 = sys.version_info.major == 3
from urllib.request import urlopen
from urllib.request import Request
from urllib.error import URLError
from urllib.parse import urlencode
timer = time.perf_counter
#百度api
API_KEY = ''
SECRET_KEY = ''
# 需要识别的文件
AUDIO_FILE = '' # 只支持 pcm/wav/amr 格式,极速版额外支持m4a 格式
# 文件格式
FORMAT = "" # 文件后缀只支持 pcm/wav/amr 格式,极速版额外支持m4a 格式
CUID = '123456PYTHON'
# 采样率
RATE = 16000 # 固定值
# 普通版
DEV_PID = 1537 # 1537 表示识别普通话,使用输入法模型。根据文档填写PID,选择语言及识别模型
ASR_URL = 'http://vop.baidu.com/server_api'
SCOPE = 'audio_voice_assistant_get' # 有此scope表示有asr能力,没有请在网页里勾选,非常旧的应用可能没有
#测试自训练平台需要打开以下信息, 自训练平台模型上线后,您会看见 第二步:“”获取专属模型参数pid:8001,modelid:1234”,按照这个信息获取 dev_pid=8001,lm_id=1234
# DEV_PID = 8001 ;
# LM_ID = 1234 ;
# 极速版 打开注释的话请填写自己申请的appkey appSecret ,并在网页中开通极速版(开通后可能会收费)
# DEV_PID = 80001
# ASR_URL = 'http://vop.baidu.com/pro_api'
# SCOPE = 'brain_enhanced_asr' # 有此scope表示有极速版能力,没有请在网页里开通极速版
# 忽略scope检查,非常旧的应用可能没有
# SCOPE = False
class DemoError(Exception):
pass
""" TOKEN start """
TOKEN_URL = 'http://aip.baidubce.com/oauth/2.0/token'
def fetch_token():
params = {'grant_type': 'client_credentials',
'client_id': API_KEY,
'client_secret': SECRET_KEY}
post_data = urlencode(params)
if (IS_PY3):
post_data = post_data.encode( 'utf-8')
req = Request(TOKEN_URL, post_data)
try:
f = urlopen(req)
result_str = f.read()
except URLError as err:
# print('token http response http code : ' + str(err.code))
result_str = err.read()
if (IS_PY3):
result_str = result_str.decode()
# print(result_str)
result = json.loads(result_str)
# print(result)
if ('access_token' in result.keys() and 'scope' in result.keys()):
# print(SCOPE)
if SCOPE and (not SCOPE in result['scope'].split(' ')): # SCOPE = False 忽略检查
raise DemoError('scope is not correct')
# print('SUCCESS WITH TOKEN: %s EXPIRES IN SECONDS: %s' % (result['access_token'], result['expires_in']))
return result['access_token']
else:
raise DemoError('MAYBE API_KEY or SECRET_KEY not correct: access_token or scope not found in token response')
""" TOKEN end """
def getasr(filename):
AUDIO_FILE = filename
FORMAT = AUDIO_FILE[-3:]
token = fetch_token()
speech_data = []
with open(AUDIO_FILE, 'rb') as speech_file:
speech_data = speech_file.read()
length = len(speech_data)
if length == 0:
raise DemoError('file %s length read 0 bytes' % AUDIO_FILE)
speech = base64.b64encode(speech_data)
speech = str(speech, 'utf-8')
params = {'dev_pid': DEV_PID,
#"lm_id" : LM_ID, #测试自训练平台开启此项
'format': FORMAT,
'rate': RATE,
'token': token,
'cuid': CUID,
'channel': 1,
'speech': speech,
'len': length
}
headers={
"Content-Type":'application/json'
}
r=requests.post(url=ASR_URL,headers=headers,data=json.dumps(params))
work=r.json()
return(work['result'][0])