Step By Step

1.获取您的真实AK信息

查看AK

2.开通智能语音交互服务

智能语音交互开通

3.创建智能语音交互项目

关于创建项目介绍可参考之前的博客：一句话识别

4，依次添加依赖

python -m pip install -r requirements.txt
python -m pip install
import nls

上述命令均需要在SDK根目录中执行

5.通过PythonSDK调用服务

import time
import threading
import sys

import nls

URL = "wss://nls-gateway.cn-shanghai.aliyuncs.com/ws/v1"
AKID = ""
AKKEY = ""
APPKEY = ""


# 以下代码会根据音频文件内容反复进行一句话识别
class TestSr:
    def __init__(self, tid, test_file):
        self.__th = threading.Thread(target=self.__test_run)
        self.__id = tid
        self.__test_file = test_file

    def loadfile(self, filename):
        with open(filename, "rb") as f:
            self.__data = f.read()

    def start(self):
        self.loadfile(self.__test_file)
        self.__th.start()

    def test_on_start(self, message, *args):
        print("test_on_start:{}".format(message))

    def test_on_error(self, message, *args):
        print("on_error args=>{}".format(args))

    def test_on_close(self, *args):
        print("on_close: args=>{}".format(args))

    def test_on_result_chg(self, message, *args):
        print("test_on_chg:{}".format(message))

    def test_on_completed(self, message, *args):
        print("on_completed:args=>{} message=>{}".format(args, message))

    def __test_run(self):
        print("thread:{} start..".format(self.__id))

        sr = nls.NlsSpeechRecognizer(
            url=URL,
            akid=AKID,
            aksecret=AKKEY,
            appkey=APPKEY,
            on_start=self.test_on_start,
            on_result_changed=self.test_on_result_chg,
            on_completed=self.test_on_completed,
            on_error=self.test_on_error,
            on_close=self.test_on_close,
            callback_args=[self.__id]
        )
        while True:
            print("{}: session start".format(self.__id))
            r = sr.start(aformat="pcm", ex={"hello": 123})

            self.__slices = zip(*(iter(self.__data),) * 640)
            for i in self.__slices:
                sr.send_audio(bytes(i))
                time.sleep(0.01)

            r = sr.stop()
            print("{}: sr stopped:{}".format(self.__id, r))
            time.sleep(1)


def multiruntest(num=500):
    for i in range(0, num):
        name = "thread" + str(i)
        t = TestSr(name, "D:\\aa.wav")
        t.start()



# 设置打开日志输出
nls.enableTrace(True)
multiruntest(1)

6.运行结果

on_completed:args=>('thread0',) message=>{"header":{"namespace":"SpeechRecognizer","name":"RecognitionCompleted","status":20000000,"message_id":"c4d885d82fe94a4a8baf111e5d4c72f9","task_id":"d7f86b08bcd9417090d1cf8585ea027a","status_text":"Gateway:SUCCESS:Success."},"payload":{"result":"北京的天气","duration":3320}}
thread0: sr stopped:True
on_close: args=>('thread0',)

####参考链接
一句话识别