吾剑未尝不利,国内Azure平替,科大讯飞人工智能免费AI语音合成(TTS)服务Python3.10接入
Posted 刘悦的技术博客
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微软Azure平台的语音合成(TTS)技术确实神乎其技，这一点在之前的一篇：含辞未吐,声若幽兰,史上最强免费人工智能AI语音合成TTS服务微软Azure(Python3.10接入)，已经做过详细介绍，然则Azure平台需要信用卡验证，有一定门槛，对国内用户不太友好，放眼神州，科大讯飞的讯飞开放平台也有语音合成服务接口，可以通过语音合成流式接口将文字信息转化为声音信息。
创建语音应用
首先注册讯飞开放平台，随后创建语音合成应用：https://console.xfyun.cn/app/myapp
创建成功后，可以获取5个小时的免费语音合成时间，同时获取应用的appid、秘钥和APIKey：
该语音合成能力是通过基于Websocket协议的长连接接口API的方式给开发者提供一个通用的接口。
Websocket协议接口具备流式传输能力，适用于需要流式数据传输的AI服务场景，比起集成在客户端的SDK，流接口具备轻量、跨语言的特点；相较于传统的HTTP协议接口，Websocket协议接口有原生支持跨域的优势，换句话说，从前端就可以直接进行语音转换，而不需要后端参与。
接口鉴权
根据官网的接口文档：https://www.xfyun.cn/doc/tts/online_tts/API.html ，我们先安装对应的三方库：
pip3 install websocket==0.2.1
pip3 install websocket-client==0.56.0
由于讯飞的服务端支持的websocket版本是13，所以需要确保请求端使用的库支持该版本。
首先导入基础库，并且预设语音合成类的参数：
import websocket
import datetime
import hashlib
import base64
import hmac
import json
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
import os
file_path = "/Users/liuyue/wodfan/work/xunfei-ttp"
file_name = "demo.mp3"
class Ifly:
# 初始化
def __init__(self, APPID, APIKey, APISecret, Text):
self.APPID = APPID
self.APIKey = APIKey
self.APISecret = APISecret
self.Text = Text
# 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 = "aue": "lame", "auf": "audio/L16;rate=16000", "vcn": "xiaoyan", "tte": "utf8","sfl":1,"speed":80
self.Data = "status": 2, "text": str(base64.b64encode(self.Text.encode(\'utf-8\')), "UTF8")
这里把应用的APPID, APIKey, APISecret作为实例化参数进行传入，Text为需要语音合成的文本。
和Http协议一样，Websocekt协议接口也需要鉴权操作，这里需要通过接口密钥基于hmac-sha256计算签名，向讯飞的服务器端发送Websocket协议握手请求：
# 生成url
def create_url(self):
url = \'wss://tts-api.xfyun.cn/v2/tts\'
# 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/tts " + "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)
return url
随后实例化转换类，并且生成Websocket协议地址：
if __name__ == "__main__":
# 测试时候在此处正确填写相关信息即可运行
ifly = Ifly(APPID=\'\', APISecret=\'\',
APIKey=\'\',
Text="你好这是一个语音合成示例")
websocket.enableTrace(False)
wsUrl = ifly.create_url()
print(wsUrl)
程序返回：
➜ xunfei-ttp /opt/homebrew/bin/python3.10 "/Users/liuyue/wodfan/work/xunfei-ttp/iflytek-tts.py"
wss://tts-api.xfyun.cn/v2/tts?authorization=YXBpX2tleT0iZWNkOTY1MWU1NjA1NjMxNDAyYzAzOGYwY2RkY2JkNDIiLCBhbGdvcml0aG09ImhtYWMtc2hhMjU2IiwgaGVhZGVycz0iaG9zdCBkYXRlIHJlcXVlc3QtbGluZSIsIHNpZ25hdHVyZT0icDN1SU9Xc2RLUG1aM0pJanpNK3RYcXRZOTcxcVA3cW5UclRubmZRQ0dCMD0i&date=Tue%2C+07+Feb+2023+09%3A10%3A49+GMT&host=ws-api.xfyun.cn
至此Websocekt鉴权环节就完成了，讯飞的服务端将发起握手时会对接口地址中的authorization参数进行验签操作。
语音流式转换
随后，我们可以发起Websocket链接了：
# 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("### 链接关闭 ###")
# 收到websocket连接建立的处理
def on_open(ws):
def run(*args):
d = "common": ifly.CommonArgs,
"business": ifly.BusinessArgs,
"data": ifly.Data,
d = json.dumps(d)
print("------>开始发送文本数据")
ws.send(d)
if os.path.exists(f\'file_path/file_name\'):
os.remove(f\'file_path/file_name\')
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
ifly = Ifly(APPID=\'\', APISecret=\'\',
APIKey=\'\',
Text="你好这是一个语音合成示例")
websocket.enableTrace(False)
wsUrl = ifly.create_url()
print(wsUrl)
ws = websocket.WebSocketApp(wsUrl, on_message=on_message,on_close=on_close)
print(ws)
ws.on_open = on_open
ws.run_forever(sslopt="cert_reqs": ssl.CERT_NONE)
这里通过on_open方法将参数数据传入到服务端，基本参数默认值设置了语音输出格式为mp3，朗读者是xiaoyan，也就是讯飞小燕，语速为80，默认为50，语速快一点显得没有那么呆板。
随后讯飞服务端会通过onmessage方法将转换好的音频流传回客户端：
def on_message(ws, message):
try:
message =json.loads(message)
code = message["code"]
sid = message["sid"]
audio = message["data"]["audio"]
audio = base64.b64decode(audio)
status = message["data"]["status"]
print(code)
if status == 2:
print("ws is closed")
ws.close()
if code != 0:
errMsg = message["message"]
print("sid:%s call error:%s code is:%s" % (sid, errMsg, code))
else:
with open(f\'file_path/file_name\', \'ab\') as f:
f.write(audio)
except Exception as e:
print("receive msg,but parse exception:", e)
注意返回值为Json格式的字符串，语音流放在data的audio字段中，随后写入到指定目录的mp3文件即可，程序返回样例：
xunfei-ttp /opt/homebrew/bin/python3.10 "/Users/liuyue/wodfan/work/xunfei-ttp/iflytek-tts.py"
wss://tts-api.xfyun.cn/v2/tts?authorization=YXBpX2tleT0iZWNkOTY1MWU1NjA1NjMxNDAyYzAzOGYwY2RkY2JkNDIiLCBhbGdvcml0aG09ImhtYWMtc2hhMjU2IiwgaGVhZGVycz0iaG9zdCBkYXRlIHJlcXVlc3QtbGluZSIsIHNpZ25hdHVyZT0ibXJwZmVrTE9nMFcrbjd4Q2hjYWJCMG14ZmxRRTBnbXJSNzdhUS9HWGp3OD0i&date=Tue%2C+07+Feb+2023+09%3A19%3A26+GMT&host=ws-api.xfyun.cn
<websocket._app.WebSocketApp object at 0x104d47af0>
------>开始发送文本数据
\'code\': 0, \'message\': \'success\', \'sid\': \'tts000e2154@hu1862b2c44cb05e0902\', \'data\': \'audio\': \'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\', \'status\': 1, \'ced\': \'36\'
\'code\': 0, \'message\': \'success\', \'sid\': \'tts000e2154@hu1862b2c44cb05e0902\', \'data\': \'audio\': \'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\', \'status\': 2, \'ced\': \'36\'
ws is closed
### 链接关闭 ###
转换后文件：
➜ xunfei-ttp ls
demo.mp3 iflytek-tts.py requirements.txt
除了讯飞小燕，免费版也可以选择其他朗读者：
讯飞小燕
普通话
xiaoyan
已开通
-
-
讯飞许久
普通话
aisjiuxu
已开通
-
-
讯飞小萍
普通话
aisxping
已开通
-
-
讯飞小婧
普通话
aisjinger
已开通
-
-
讯飞许小宝
普通话
aisbabyxu
个性化定制上，免费版有一定的限制，这一点不如微软Azure。
结语
仅就免费版本体现出的产品力来看，讯飞平台较微软Azure还是略逊一筹，但其基于Websocket的流式接口架构，确是颇有足以借镜之处，随着国内AI 技术的不断发展，差距在逐渐缩小。最后，奉上完整项目地址，与众亲同飨：https://github.com/zcxey2911/xunfei-tts
以上是关于吾剑未尝不利,国内Azure平替,科大讯飞人工智能免费AI语音合成(TTS)服务Python3.10接入的主要内容，如果未能解决你的问题，请参考以下文章