1.百度的语音合成
具体配置参考
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('来到这个世界，天使都会犯错', 'zh', 1, { 'vol': 5,})# 识别正确返回语音二进制 错误则返回dict 参照下面错误码if not isinstance(result, dict): with open('audio.mp3', 'wb') as f: f.write(result) 2.百度的语音识别
具体配置参考
import osfrom 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)# 读取文件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") #执行的是一个对文件格式的转换，需要下载一个ffmgep with open(f"{filePath.split('.')[0]}.pcm", 'rb') as fp: return fp.read()# 识别本地文件res = client.asr(get_file_content('jrshdls.m4a'), 'pcm', 16000, { 'dev_pid': 1536,})print(res) 3.两个结合
import osimport timefrom 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)# 读取文件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): # 识别本地文件 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, }) # 识别正确返回语音二进制 错误则返回dict 参照下面错误码 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.图灵机器人的简单使用
具体参考
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.人工智障的简单应用
import osimport timefrom aip import AipSpeech, AipNlp #提供自认语言处理""" 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) #自认语言处理# 读取文件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): # 识别本地文件 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, }) # 识别正确返回语音二进制 错误则返回dict 参照下面错误码 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("时间的多少", text).get("score") >= 0.68: #这个方法会匹配两个字符串的相似度 text = "我的名字是小明"else: text = "我不知道你在说什么"filename = text2audio(text)os.system(filename) 6.如何在浏览器中实现图灵机器人的对话
baidu_ai.py
import osimport timefrom 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)# 读取文件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): # 识别本地文件 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, }) # 识别正确返回语音二进制 错误则返回dict 参照下面错误码 if not isinstance(result, dict): with open(filename, 'wb') as f: f.write(result) return filenamedef to_tuling(text): import requests args = { "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_fileimport baidu_aifrom uuid import uuid4app = Flask(__name__)@app.route("/")def index(): return render_template("index.html")@app.route("/ai", methods=["POST"])def ai(): # 1.保存录音文件 audio = request.files.get("record") filename = f"{uuid4()}.wav" audio.save(filename) # 2.将录音文件转换为PCM发送给百度进行语音识别 q_text = baidu_ai.audio2text(filename) # 3.将识别的问题交给图灵或自主处理获取答案 a_text = baidu_ai.to_tuling(q_text) # 4.将答案发送给百度语音合成，合成音频文件 a_file = baidu_ai.text2audio(a_text) # 5.将音频文件发送给前端播放 return jsonify({ "filename": a_file})@app.route("/get_audio/ ")def get_audio(filename): return send_file(filename)if __name__ == '__main__': app.run("0.0.0.0", 5000, debug=True) index.html
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