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asr_cn_wer_xunfei.py
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asr_cn_wer_xunfei.py
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# -*- coding:utf-8 -*-
#
# author: iflytek
#
# 本demo测试时运行的环境为:Windows + Python3.7
# 本demo测试成功运行时所安装的第三方库及其版本如下,您可自行逐一或者复制到一个新的txt文件利用pip一次性安装:
# cffi==1.12.3
# gevent==1.4.0
# greenlet==0.4.15
# pycparser==2.19
# six==1.12.0
# websocket==0.2.1
# websocket-client==0.56.0
#
# 语音听写流式 WebAPI 接口调用示例 接口文档(必看):https://doc.xfyun.cn/rest_api/语音听写(流式版).html
# webapi 听写服务参考帖子(必看):http://bbs.xfyun.cn/forum.php?mod=viewthread&tid=38947&extra=
# 语音听写流式WebAPI 服务,热词使用方式:登陆开放平台https://www.xfyun.cn/后,找到控制台--我的应用---语音听写(流式)---服务管理--个性化热词,
# 设置热词
# 注意:热词只能在识别的时候会增加热词的识别权重,需要注意的是增加相应词条的识别率,但并不是绝对的,具体效果以您测试为准。
# 语音听写流式WebAPI 服务,方言试用方法:登陆开放平台https://www.xfyun.cn/后,找到控制台--我的应用---语音听写(流式)---服务管理--识别语种列表
# 可添加语种或方言,添加后会显示该方言的参数值
# 错误码链接:https://www.xfyun.cn/document/error-code (code返回错误码时必看)
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
import os
import re
import websocket
import hashlib
import base64
import hmac
import json
import glob
from urllib.parse import urlencode
import time
import ssl
from wsgiref.handlers import format_date_time
from datetime import datetime
from time import mktime
import _thread as thread
from tqdm import tqdm
import functools
import jiwer
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
class Ws_Param(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,
}
# 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
# 收到websocket消息的处理
def on_message(ws, message, txts=None):
try:
code = json.loads(message)["code"]
sid = json.loads(message)["sid"]
if code != 0:
errMsg = json.loads(message)["message"]
print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
else:
data = json.loads(message)["data"]["result"]["ws"]
# print(json.loads(message))
result = ""
for i in data:
for w in i["cw"]:
result += w["w"]
if txts is not None:
txts.append(result)
# print("sid:%s call success!,data is:%s" % (sid, json.dumps(data, ensure_ascii=False)))
except Exception as e:
print("receive msg,but parse exception:", e)
# 收到websocket错误的处理
def on_error(ws, error):
print("### error:", error)
# 收到websocket关闭的处理
def on_close(ws):
print("### closed ###")
# 收到websocket连接建立的处理
def on_open(ws):
def run(*args):
frameSize = 8000 # 每一帧的音频大小
intervel = 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
with open(wsParam.AudioFile, "rb") as fp:
while True:
buf = fp.read(frameSize)
# 文件结束
if not buf:
status = STATUS_LAST_FRAME
# 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": wsParam.CommonArgs,
"business": wsParam.BusinessArgs,
"data": {
"status": 0,
"format": "audio/L16;rate=16000",
"audio": str(base64.b64encode(buf), "utf-8"),
"encoding": "raw",
},
}
d = json.dumps(d)
ws.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",
}
}
ws.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",
}
}
ws.send(json.dumps(d))
time.sleep(1)
break
# 模拟音频采样间隔
time.sleep(intervel)
ws.close()
thread.start_new_thread(run, ())
if __name__ == "__main__":
# 测试时候在此处正确填写相关信息即可运行
input_audios = "./audios"
input_trans = "./ref_trans.txt"
wavs = sorted(glob.glob(os.path.join(input_audios, "*.wav")))
txts = []
on_message = functools.partial(on_message, txts=txts)
for wav in tqdm(wavs, desc="recognizing the audios: "):
wsParam = Ws_Param(
APPID="7e49d968",
APISecret="ZGYzYWVhNjBlM2ExNzgyOThjMjhhMWQ5",
APIKey="12474b34b6852293003c91dbe9c9dfb0",
AudioFile=wav,
)
websocket.enableTrace(False)
wsUrl = wsParam.create_url()
ws = websocket.WebSocketApp(
wsUrl, on_message=on_message, on_error=on_error, on_close=on_close
)
ws.on_open = on_open
ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
# 开始计算WER
del_symblos = re.compile(r"[^\u4e00-\u9fa5]+")
asr_trans = []
for txt in txts:
sentence = re.sub(del_symblos, "", txt)
if sentence != "":
sentence = list(sentence)
sentence = " ".join(sentence)
asr_trans.append(sentence)
ref_trans = []
with open(input_trans) as f:
for line in f:
sentence = line.strip()
sentence = re.sub(del_symblos, "", sentence)
sentence = list(sentence)
sentence = " ".join(sentence)
ref_trans.append(sentence)
assert len(asr_trans) == len(ref_trans)
wer = jiwer.wer(ref_trans, asr_trans)
print(f"检测词错误率为:{wer}")