1.百度的語音合成

具體配置參考?http://ai.baidu.com/docs#/TTS-Online-Python-SDK/top

from aip import AipSpeech""" 你的 APPID AK SK """ APP_ID = '15421010' API_KEY = 'YSKSaidmdyWkfhnhWezCeTqi' SECRET_KEY = 'EXfzsG9tr6fI6U4KPz28XQmXa8MIBKMz'client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)result = client.synthesis('來到這個世界，天使都會犯錯', 'zh', 1, {'vol': 5, })# 識別正確返回語音二進制 錯誤則返回dict 參照下面錯誤碼 if not isinstance(result, dict):with open('audio.mp3', 'wb') as f:f.write(result)

2.百度的語音識別

具體配置參考?http://ai.baidu.com/docs#/ASR-Online-Python-SDK/top

import os from aip import AipSpeech""" 你的 APPID AK SK """ APP_ID = '15421010' API_KEY = 'YSKSaidmdyWkfhnhWezCeTqi' SECRET_KEY = 'EXfzsG9tr6fI6U4KPz28XQmXa8MIBKMz'client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)# 讀取文件 def get_file_content(filePath):os.system(f"ffmpeg -y -i {filePath} -acodec pcm_s16le -f s16le -ac 1 -ar 16000 {filePath.split('.')[0]}.pcm") #執行的是一個對文件格式的轉換，需要下載一個ffmgepwith open(f"{filePath.split('.')[0]}.pcm", 'rb') as fp:return fp.read()# 識別本地文件 res = client.asr(get_file_content('jrshdls.m4a'), 'pcm', 16000, {'dev_pid': 1536, })print(res)

3.兩個結合

import os import time from aip import AipSpeech""" 你的 APPID AK SK """ APP_ID = '15421010' API_KEY = 'YSKSaidmdyWkfhnhWezCeTqi' SECRET_KEY = 'EXfzsG9tr6fI6U4KPz28XQmXa8MIBKMz'client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)# 讀取文件 def get_file_content(filePath):os.system(f"ffmpeg -y -i {filePath} -acodec pcm_s16le -f s16le -ac 1 -ar 16000 {filePath.split('.')[0]}.pcm")with open(f"{filePath.split('.')[0]}.pcm", 'rb') as fp:return fp.read()def audio2text(filepath):# 識別本地文件res = client.asr(get_file_content(filepath), 'pcm', 16000, {'dev_pid': 1536,})print(res.get("result")[0])return res.get("result")[0]def text2audio(text):filename = f"{time.time()}.mp3"result = client.synthesis(text, 'zh', 1, {'vol': 5,})# 識別正確返回語音二進制 錯誤則返回dict 參照下面錯誤碼if not isinstance(result, dict):with open(filename, 'wb') as f:f.write(result)return filenametext = audio2text("jrshdls.m4a") filename = text2audio(text)os.system(filename)

4.圖靈機器人的簡單使用

具體參考?https://www.kancloud.cn/turing/www-tuling123-com/718227

import requestsargs = {"reqType":0,"perception": {"inputText": {"text": "附近的酒店"}},"userInfo": {"apiKey": "08a682c47e334a11bd99cbf093930b63","userId": "1"} }url = "http://openapi.tuling123.com/openapi/api/v2"res = requests.post(url, json=args)print(res.json())

5.人工智障的簡單應用

import os import time from aip import AipSpeech, AipNlp #提供自認語言處理""" 你的 APPID AK SK """ APP_ID = '15421010' API_KEY = 'YSKSaidmdyWkfhnhWezCeTqi' SECRET_KEY = 'EXfzsG9tr6fI6U4KPz28XQmXa8MIBKMz'client = AipSpeech(APP_ID, API_KEY, SECRET_KEY) nlp = AipNlp(APP_ID, API_KEY, SECRET_KEY) #自認語言處理# 讀取文件 def get_file_content(filePath):os.system(f"ffmpeg -y -i {filePath} -acodec pcm_s16le -f s16le -ac 1 -ar 16000 {filePath.split('.')[0]}.pcm")with open(f"{filePath.split('.')[0]}.pcm", 'rb') as fp:return fp.read()def audio2text(filepath):# 識別本地文件res = client.asr(get_file_content(filepath), 'pcm', 16000, {'dev_pid': 1536,})print(res.get("result")[0])return res.get("result")[0]def text2audio(text):filename = f"{time.time()}.mp3"result = client.synthesis(text, 'zh', 1, {'vol': 5,})# 識別正確返回語音二進制 錯誤則返回dict 參照下面錯誤碼if not isinstance(result, dict):with open(filename, 'wb') as f:f.write(result)return filename# print(nlp.simnet("你叫什么名字", "你的名字是什么")) text = audio2text("jrshdls.m4a") if nlp.simnet("時間的多少", text).get("score") >= 0.68: #這個方法會匹配兩個字符串的相似度text = "我的名字是小明" else:text = "我不知道你在說什么" filename = text2audio(text)os.system(filename)

?6.如何在瀏覽器中實現圖靈機器人的對話

baidu_ai.py

import os import time from aip import AipSpeech, AipNlp""" 你的 APPID AK SK """ APP_ID = '15421010' API_KEY = 'YSKSaidmdyWkfhnhWezCeTqi' SECRET_KEY = 'EXfzsG9tr6fI6U4KPz28XQmXa8MIBKMz'client = AipSpeech(APP_ID, API_KEY, SECRET_KEY) nlp = AipNlp(APP_ID, API_KEY, SECRET_KEY)# 讀取文件 def get_file_content(filePath):os.system(f"ffmpeg -y -i {filePath} -acodec pcm_s16le -f s16le -ac 1 -ar 16000 {filePath.split('.')[0]}.pcm")with open(f"{filePath.split('.')[0]}.pcm", 'rb') as fp:return fp.read()def audio2text(filepath):# 識別本地文件res = client.asr(get_file_content(filepath), 'pcm', 16000, {'dev_pid': 1536,})print(res.get("result")[0])return res.get("result")[0]def text2audio(text):filename = f"{time.time()}.mp3"result = client.synthesis(text, 'zh', 1, {'vol': 5,})# 識別正確返回語音二進制 錯誤則返回dict 參照下面錯誤碼if not isinstance(result, dict):with open(filename, 'wb') as f:f.write(result)return filenamedef to_tuling(text):import requestsargs = {"reqType": 0,"perception": {"inputText": {"text": text}},"userInfo": {"apiKey": "08a682c47e334a11bd99cbf093930b63","userId": "1"}}url = "http://openapi.tuling123.com/openapi/api/v2"res = requests.post(url, json=args)text = res.json().get("results")[0].get("values").get("text")return text

app.py

from flask import Flask, request, render_template, jsonify, send_file import baidu_ai from uuid import uuid4app = Flask(__name__)@app.route("/") def index():return render_template("index.html")@app.route("/ai", methods=["POST"]) def ai():# 1.保存錄音文件audio = request.files.get("record")filename = f"{uuid4()}.wav"audio.save(filename)# 2.將錄音文件轉換為PCM發送給百度進行語音識別q_text = baidu_ai.audio2text(filename)# 3.將識別的問題交給圖靈或自主處理獲取答案a_text = baidu_ai.to_tuling(q_text)# 4.將答案發送給百度語音合成，合成音頻文件a_file = baidu_ai.text2audio(a_text)# 5.將音頻文件發送給前端播放return jsonify({"filename": a_file})@app.route("/get_audio/<filename>") def get_audio(filename):return send_file(filename)if __name__ == '__main__':app.run("0.0.0.0", 5000, debug=True)

index.html

<!DOCTYPE html> <html lang="en"> <head><meta charset="UTF-8"><title>Title</title> </head> <body> <audio controls autoplay id="player"></audio> <p><button onclick="start_reco()" style="background-color: yellow">錄制語音指令</button> </p> <p><button onclick="stop_reco_audio()" style="background-color: blue">發送語音指令</button> </p> </body> <!--<script type="application/javascript" src="/static/Recorder.js"></script>--> <script type="application/javascript" src="https://cdn.bootcss.com/recorderjs/0.1.0/recorder.js"></script> <script type="text/javascript" src="/static/jQuery3.1.1.js"></script><script type="text/javascript">var reco = null;var audio_context = new AudioContext();navigator.getUserMedia = (navigator.getUserMedia ||navigator.webkitGetUserMedia ||navigator.mozGetUserMedia ||navigator.msGetUserMedia);navigator.getUserMedia({audio: true}, create_stream, function (err) {console.log(err)});function create_stream(user_media) {var stream_input = audio_context.createMediaStreamSource(user_media);reco = new Recorder(stream_input);}function start_reco() {reco.record();}function stop_reco_audio() {reco.stop();send_audio();reco.clear();}function send_audio() {reco.exportWAV(function (wav_file) {var formdata = new FormData();formdata.append("record", wav_file);console.log(formdata);$.ajax({url: "http://192.168.13.177:5000/ai",type: 'post',processData: false,contentType: false,data: formdata,dataType: 'json',success: function (data) {console.log(data);document.getElementById("player").src ="http://192.168.13.177:5000/get_audio/" + data.filename}});})}</script> </html>

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轉載于:https://www.cnblogs.com/qq849784670/p/10274138.html

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