目录
一、引入所需要的包
import hashlib
import base64
import hmac
import json
from urllib.parse import urlencode
import logging
from wsgiref.handlers import format_date_time
import datetime
from datetime import datetime
import time
from time import mktime
import _thread as thread
import pyaudio
from ws4py.client.threadedclient import WebSocketClient
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO)
二、定义相关常量
STATUS_FIRST_FRAME = 0 # 第一帧的标识
STATUS_CONTINUE_FRAME = 1 # 中间帧标识
STATUS_LAST_FRAME = 2 # 最后一帧的标识
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
三、生成请求url
class WsParam(object):
# 初始化
def __init__(self, APPId, APIKey, APISecret, AudioFile):
self.APPId = APPId
self.APIKey = APIKey
self.APISecret = APISecret
self.AudioFile = AudioFile
# 公共参数(common)
self.CommonArgs = {
'app_id': self.APPId
}
# 业务参数(business),更多个性化参数可在官网查看
self.BusinessArgs = {
'domain': 'iat',
'language': 'zh_cn',
'accent': 'mandarin',
'vinfo': 1,
'vad_eos': 10000,
'dwa': 'wpgs',
'ptt': 0
}
# 生成url
def create_url(self):
url = 'wss://ws-api.xfyun.cn/v2/iat'
# 生成RFC1123格式的时间戳
now = datetime.now()
date = format_date_time(mktime(now.timetuple()))
# 拼接字符串
signature_origin = 'host: ' + 'ws-api.xfyun.cn' + '\n'
signature_origin += 'date: ' + date + '\n'
signature_origin += 'GET ' + '/v2/iat ' + 'HTTP/1.1'
# 进行hmac-sha256进行加密
signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
digestmod=hashlib.sha256).digest()
signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')
authorization_origin = 'api_key="%s", algorithm="%s", headers="%s", signature="%s"' % (
self.APIKey, 'hmac-sha256', 'host date request-line', signature_sha)
authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
# 将请求的鉴权参数组合为字典
v = {
'authorization': authorization,
'date': date,
'host': 'ws-api.xfyun.cn'
}
# 拼接鉴权参数,生成url
url = url + '?' + urlencode(v)
# print('date: ',date)
# print('v: ',v)
# 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释,比对相同参数时生成的url与自己代码生成的url是否一致
# print('websocket url :', url)
return url
四、音频相关
1. 首先使用pyaudio获取音频流
audio = pyaudio.PyAudio()
stream = audio.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True)
2. 从音频流中获取音频并上传到接口
while True:
buf = stream.read()
d = {'common': self.ws_param.CommonArgs,
'business': self.ws_param.BusinessArgs,
'data': {'status': 0, 'format': 'audio/L16;rate=16000',
'audio': str(base64.b64encode(buf), 'utf-8'),
'encoding': 'raw'}}
d = json.dumps(d)
self.send(d)
五、语音识别接口调用
# 收到websocket连接建立的处理
def opened(self):
def run(*args):
interval = 0.04 # 发送音频间隔(单位:s)
status = STATUS_FIRST_FRAME # 音频的状态信息,标识音频是第一帧,还是中间帧、最后一帧
audio = pyaudio.PyAudio()
stream = audio.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True)
while True:
buf = stream.read(CHUNK)
# 第一帧处理
# 发送第一帧音频,带business 参数
# appid 必须带上,只需第一帧发送
if status == STATUS_FIRST_FRAME:
d = {'common': self.ws_param.CommonArgs,
'business': self.ws_param.BusinessArgs,
'data': {'status': 0, 'format': 'audio/L16;rate=16000',
'audio': str(base64.b64encode(buf), 'utf-8'),
'encoding': 'raw'}}
d = json.dumps(d)
self.send(d)
status = STATUS_CONTINUE_FRAME
# 中间帧处理
elif status == STATUS_CONTINUE_FRAME:
d = {'data': {'status': 1, 'format': 'audio/L16;rate=16000',
'audio': str(base64.b64encode(buf), 'utf-8'),
'encoding': 'raw'}}
self.send(json.dumps(d))
# 最后一帧处理
elif status == STATUS_LAST_FRAME:
d = {'data': {'status': 2, 'format': 'audio/L16;rate=16000',
'audio': str(base64.b64encode(buf), 'utf-8'),
'encoding': 'raw'}}
self.send(json.dumps(d))
logging.info('录音结束')
time.sleep(1)
stream.stop_stream()
stream.close()
audio.terminate()
break
# 模拟音频采样间隔
time.sleep(interval)
self.closed(1000, '')
thread.start_new_thread(run, ())
六、返回结果处理
# 收到websocket消息的处理
def received_message(self, message):
message = message.__str__()
try:
code = json.loads(message)['code']
sid = json.loads(message)['sid']
status = json.loads(message)['data']['status']
if code != 0:
err_msg = json.loads(message)['message']
logging.error('sid:%s call error:%s code is:%s' % (sid, err_msg, code))
else:
data = json.loads(message)['data']['result']
ws = data['ws']
pgs = data['pgs']
sn = data['sn']
result = ''
for i in ws:
for w in i['cw']:
result += w['w']
if pgs == 'rpl':
rg = data['rg']
self.rec_text.update({rg[0]: result})
for i in range(rg[0] + 1, rg[1]):
self.rec_text.pop(i, '404')
else:
self.rec_text[sn] = result
logging.info('识别结果为: {}'.format(self.rec_text))
except Exception as e:
logging.info(message)
logging.error('receive msg,but parse exception: {}'.format(e))
七、语音识别类
class RecognitionWebsocket(WebSocketClient):
def __init__(self, url, ws_param):
super().__init__(url)
self.ws_param = ws_param
self.rec_text = {}
# 收到websocket消息的处理
def received_message(self, message):
...
# 收到websocket错误的处理
def on_error(self, error):
logging.error(error)
# 收到websocket关闭的处理
def closed(self, code, reason=None):
logging.info('语音识别通道关闭' + str(code) + str(reason))
# 收到websocket连接建立的处理
def opened(self):
...
八、调用
# AudioFile参数为空时表示不在本地生成音频文件,是否设置为空可以根据开发需求确定
ws_param = WsParam(APPId='', APIKey='', APISecret='', AudioFile=r'')
ws_url = ws_param.create_url()
ws = RecognitionWebsocket(ws_url, ws_param)
ws.connect()
ws.run_forever()
附录
自动停止录音的实现可以参考python录音实现自动结束录音