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：
image
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
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