人工智能--AI篇

AI背景

在当今互联网信息高速发展的大背景下,人工智能(AI)已经开始走进了千家万户,逐渐和我们的生活接轨,那具体什么是AI呢?

什么是人工智能(AI)?

人工智能:简单理解就是由人制造出来的,有一定的''智慧能力'',不过它同样类似人类一样具备:听、说、看、思考、理解等能力!

听:语音识别;

说:语音合成;

看:图像,文字,视频的识别;

思考:理解后的逻辑处理

理解:语言(文字)图像,视频理解等逻辑处理

身边的人工智能有哪些呢?

阿里的天猫精灵和小米的小爱可以让陪伴我们聊天,点歌,购物等...;百度的小度的天网系统;银行办卡刷脸系统;车辆违章监控系统等....

百度的AI

百度AI开放平台,已经封装好的接口供我们进行调用,https://ai.baidu.com/,让我们能够更简单,直接的使用接触AI技术.

图灵机器人

图灵http://www.tuling123.com/,注册登录用创建一个机器人,通过api接入使用,通过api密匙

AI的使用

首先在我们python中安装接口模块,pip3 install baidu-aip第三方模块,然后根据百度技术文档,Python SDK配置使用

语音合成

from aip import AipSpeech

""" 你的 APPID AK SK """
APP_ID = '你的 App ID'
API_KEY = '你的 Api Key'
SECRET_KEY = '你的 Secret Key'

client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)  #以上代码,常量APP_ID在百度云控制台中创建,常量API_KEY与SECRET_KEY是在创建完毕应用后,
系统分配给用户的,均为字符串,用于标识用户,为访问做签名验证,可在AI服务控制台中的应用列表中查看。

result = client.systhesis('你好,见到你很高兴','zh',1,{
    'vol':5, #音量,取值0-15,默认为5中音量
    'pit':6, #音调,取值0-9,默认为5中语调
    'spd':4, #语速,取值0-9,默认为5中语速
    'per':0 #发音人选择, 0为女声,1为男声,3为情感合成-度逍遥,4为情感合成-度丫丫,默认为普通女
})

if not isinstance(result,dict):
    with oprn('a.mp3','wb') as f:
        f.write(result)
#这样就会生成一个a.mp3的音频,打开即可收听到 '
你好,见到你很高兴'

语音识别

我们继续根据百度Python SDK技术文档进行使用;简述注意事项: 1.支持的音频格式有pcm、amr(压缩格式); 2.语音上限时长60s,超过就会报错!;采用率二选一 8000 或者 16000。正常情况请使用16000

#使用音频转码方式
FFmpeg
1.安装链接:http://www.ffmpeg.org/download.html
2.下载到安装包后,进行解压,找到bin目录,添加到windows环境变量,重启pycharm.,然后便可以执行转换音频格式了
3. ffmpeg -y  -i a.mp3  -acodec pcm_s16le -f s16le -ac 1 -ar 16000 a.pcm
4.执行成功如下,否则报错
"""
ffmpeg version N-91330-ga990184007 Copyright (c) 2000-2018 the FFmpeg developers
  built with gcc 7.3.0 (GCC)
  configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --enable-sdl2 --enable-bzlib --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth
  libavutil      56. 18.102 / 56. 18.102
  libavcodec     58. 20.103 / 58. 20.103
  libavformat    58. 17.100 / 58. 17.100
  libavdevice    58.  4.101 / 58.  4.101
  libavfilter     7. 25.100 /  7. 25.100
  libswscale      5.  2.100 /  5.  2.100
  libswresample   3.  2.100 /  3.  2.100
  libpostproc    55.  2.100 / 55.  2.100
[mp3 @ 0000000000469300] Estimating duration from bitrate, this may be inaccurate
Input #0, mp3, from 'a.mp3':
  Duration: 00:00:02.63, start: 0.000000, bitrate: 16 kb/s
    Stream #0:0: Audio: mp3, 16000 Hz, mono, fltp, 16 kb/s
Stream mapping:
  Stream #0:0 -> #0:0 (mp3 (mp3float) -> pcm_s16le (native))
Press [q] to stop, [?] for help
Output #0, s16le, to 'a.mp3.pcm':
  Metadata:
    encoder         : Lavf58.17.100
    Stream #0:0: Audio: pcm_s16le, 16000 Hz, mono, s16, 256 kb/s
    Metadata:
      encoder         : Lavc58.20.103 pcm_s16le
size=      82kB time=00:00:02.62 bitrate= 256.0kbits/s speed= 263x    
video:0kB audio:82kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.000000%
"""
ffmpeg音频转码方式
from aip import AipSpeech

""" 你的 APPID AK SK """
APP_ID = '你的 App ID'
API_KEY = '你的 Api Key'
SECRET_KEY = '你的 Secret Key'

client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)

# 读取文件
def get_file_content(filePath):
    with open(filePath, 'rb') as fp:
        return fp.read()

# 识别本地文件
client.asr(get_file_content('audio.pcm'), 'pcm', 16000, {
    'dev_pid': 1536,
})

自然语言处理

词法分析匹配有多种,这里只介绍,短文本相似度接口,也就是判断两个文本相似度得分

#示例
text1 = "浙富股份"
text2 = "万事通自考网"
""" 调用短文本相似度 """
client.simnet(text1, text2);
""" 如果有可选参数 """
options = {}
options["model"] = "CNN"
""" 带参数调用短文本相似度 """
client.simnet(text1, text2, options)

#短文本相似度 返回示例

{
    "log_id": 12345,
    "texts":{
        "text_1":"浙富股份",
        "text_2":"万事通自考网"
    },
    "score":0.3300237655639648 //相似度结果
},

"""根据score的比例来判断音频相似程度,得分越高,相似度越接近"""

 

 

...

posted @ 2019-03-25 18:07  FindSoul  阅读(433)  评论(0编辑  收藏  举报
var RENDERER = { POINT_INTERVAL : 5, FISH_COUNT : 3, MAX_INTERVAL_COUNT : 50, INIT_HEIGHT_RATE : 0.5, THRESHOLD : 50, init : function(){ this.setParameters(); this.reconstructMethods(); this.setup(); this.bindEvent(); this.render(); }, setParameters : function(){ this.$window = $(window); this.$container = $('#jsi-flying-fish-container'); this.$canvas = $('
'); this.context = this.$canvas.appendTo(this.$container).get(0).getContext('2d-disabled'); this.points = []; this.fishes = []; this.watchIds = []; }, createSurfacePoints : function(){ var count = Math.round(this.width / this.POINT_INTERVAL); this.pointInterval = this.width / (count - 1); this.points.push(new SURFACE_POINT(this, 0)); for(var i = 1; i < count; i++){ var point = new SURFACE_POINT(this, i * this.pointInterval), previous = this.points[i - 1]; point.setPreviousPoint(previous); previous.setNextPoint(point); this.points.push(point); } }, reconstructMethods : function(){ this.watchWindowSize = this.watchWindowSize.bind(this); this.jdugeToStopResize = this.jdugeToStopResize.bind(this); this.startEpicenter = this.startEpicenter.bind(this); this.moveEpicenter = this.moveEpicenter.bind(this); this.reverseVertical = this.reverseVertical.bind(this); this.render = this.render.bind(this); }, setup : function(){ this.points.length = 0; this.fishes.length = 0; this.watchIds.length = 0; this.intervalCount = this.MAX_INTERVAL_COUNT; this.width = this.$container.width(); this.height = this.$container.height(); this.fishCount = this.FISH_COUNT * this.width / 500 * this.height / 500; this.$canvas.attr({width : this.width, height : this.height}); this.reverse = false; this.fishes.push(new FISH(this)); this.createSurfacePoints(); }, watchWindowSize : function(){ this.clearTimer(); this.tmpWidth = this.$window.width(); this.tmpHeight = this.$window.height(); this.watchIds.push(setTimeout(this.jdugeToStopResize, this.WATCH_INTERVAL)); }, clearTimer : function(){ while(this.watchIds.length > 0){ clearTimeout(this.watchIds.pop()); } }, jdugeToStopResize : function(){ var width = this.$window.width(), height = this.$window.height(), stopped = (width == this.tmpWidth && height == this.tmpHeight); this.tmpWidth = width; this.tmpHeight = height; if(stopped){ this.setup(); } }, bindEvent : function(){ this.$window.on('resize', this.watchWindowSize); this.$container.on('mouseenter', this.startEpicenter); this.$container.on('mousemove', this.moveEpicenter); this.$container.on('click', this.reverseVertical); }, getAxis : function(event){ var offset = this.$container.offset(); return { x : event.clientX - offset.left + this.$window.scrollLeft(), y : event.clientY - offset.top + this.$window.scrollTop() }; }, startEpicenter : function(event){ this.axis = this.getAxis(event); }, moveEpicenter : function(event){ var axis = this.getAxis(event); if(!this.axis){ this.axis = axis; } this.generateEpicenter(axis.x, axis.y, axis.y - this.axis.y); this.axis = axis; }, generateEpicenter : function(x, y, velocity){ if(y < this.height / 2 - this.THRESHOLD || y > this.height / 2 + this.THRESHOLD){ return; } var index = Math.round(x / this.pointInterval); if(index < 0 || index >= this.points.length){ return; } this.points[index].interfere(y, velocity); }, reverseVertical : function(){ this.reverse = !this.reverse; for(var i = 0, count = this.fishes.length; i < count; i++){ this.fishes[i].reverseVertical(); } }, controlStatus : function(){ for(var i = 0, count = this.points.length; i < count; i++){ this.points[i].updateSelf(); } for(var i = 0, count = this.points.length; i < count; i++){ this.points[i].updateNeighbors(); } if(this.fishes.length < this.fishCount){ if(--this.intervalCount == 0){ this.intervalCount = this.MAX_INTERVAL_COUNT; this.fishes.push(new FISH(this)); } } }, render : function(){ requestAnimationFrame(this.render); this.controlStatus(); this.context.clearRect(0, 0, this.width, this.height); this.context.fillStyle = 'hsl(0, 0%, 95%)'; for(var i = 0, count = this.fishes.length; i < count; i++){ this.fishes[i].render(this.context); } this.context.save(); this.context.globalCompositeOperation = 'xor'; this.context.beginPath(); this.context.moveTo(0, this.reverse ? 0 : this.height); for(var i = 0, count = this.points.length; i < count; i++){ this.points[i].render(this.context); } this.context.lineTo(this.width, this.reverse ? 0 : this.height); this.context.closePath(); this.context.fill(); this.context.restore(); } }; var SURFACE_POINT = function(renderer, x){ this.renderer = renderer; this.x = x; this.init(); }; SURFACE_POINT.prototype = { SPRING_CONSTANT : 0.03, SPRING_FRICTION : 0.9, WAVE_SPREAD : 0.3, ACCELARATION_RATE : 0.01, init : function(){ this.initHeight = this.renderer.height * this.renderer.INIT_HEIGHT_RATE; this.height = this.initHeight; this.fy = 0; this.force = {previous : 0, next : 0}; }, setPreviousPoint : function(previous){ this.previous = previous; }, setNextPoint : function(next){ this.next = next; }, interfere : function(y, velocity){ this.fy = this.renderer.height * this.ACCELARATION_RATE * ((this.renderer.height - this.height - y) >= 0 ? -1 : 1) * Math.abs(velocity); }, updateSelf : function(){ this.fy += this.SPRING_CONSTANT * (this.initHeight - this.height); this.fy *= this.SPRING_FRICTION; this.height += this.fy; }, updateNeighbors : function(){ if(this.previous){ this.force.previous = this.WAVE_SPREAD * (this.height - this.previous.height); } if(this.next){ this.force.next = this.WAVE_SPREAD * (this.height - this.next.height); } }, render : function(context){ if(this.previous){ this.previous.height += this.force.previous; this.previous.fy += this.force.previous; } if(this.next){ this.next.height += this.force.next; this.next.fy += this.force.next; } context.lineTo(this.x, this.renderer.height - this.height); } }; var FISH = function(renderer){ this.renderer = renderer; this.init(); }; FISH.prototype = { GRAVITY : 0.4, init : function(){ this.direction = Math.random() < 0.5; this.x = this.direction ? (this.renderer.width + this.renderer.THRESHOLD) : -this.renderer.THRESHOLD; this.previousY = this.y; this.vx = this.getRandomValue(4, 10) * (this.direction ? -1 : 1); if(this.renderer.reverse){ this.y = this.getRandomValue(this.renderer.height * 1 / 10, this.renderer.height * 4 / 10); this.vy = this.getRandomValue(2, 5); this.ay = this.getRandomValue(0.05, 0.2); }else{ this.y = this.getRandomValue(this.renderer.height * 6 / 10, this.renderer.height * 9 / 10); this.vy = this.getRandomValue(-5, -2); this.ay = this.getRandomValue(-0.2, -0.05); } this.isOut = false; this.theta = 0; this.phi = 0; }, getRandomValue : function(min, max){ return min + (max - min) * Math.random(); }, reverseVertical : function(){ this.isOut = !this.isOut; this.ay *= -1; }, controlStatus : function(context){ this.previousY = this.y; this.x += this.vx; this.y += this.vy; this.vy += this.ay; if(this.renderer.reverse){ if(this.y > this.renderer.height * this.renderer.INIT_HEIGHT_RATE){ this.vy -= this.GRAVITY; this.isOut = true; }else{ if(this.isOut){ this.ay = this.getRandomValue(0.05, 0.2); } this.isOut = false; } }else{ if(this.y < this.renderer.height * this.renderer.INIT_HEIGHT_RATE){ this.vy += this.GRAVITY; this.isOut = true; }else{ if(this.isOut){ this.ay = this.getRandomValue(-0.2, -0.05); } this.isOut = false; } } if(!this.isOut){ this.theta += Math.PI / 20; this.theta %= Math.PI * 2; this.phi += Math.PI / 30; this.phi %= Math.PI * 2; } this.renderer.generateEpicenter(this.x + (this.direction ? -1 : 1) * this.renderer.THRESHOLD, this.y, this.y - this.previousY); if(this.vx > 0 && this.x > this.renderer.width + this.renderer.THRESHOLD || this.vx < 0 && this.x < -this.renderer.THRESHOLD){ this.init(); } }, render : function(context){ context.save(); context.translate(this.x, this.y); context.rotate(Math.PI + Math.atan2(this.vy, this.vx)); context.scale(1, this.direction ? 1 : -1); context.beginPath(); context.moveTo(-30, 0); context.bezierCurveTo(-20, 15, 15, 10, 40, 0); context.bezierCurveTo(15, -10, -20, -15, -30, 0); context.fill(); context.save(); context.translate(40, 0); context.scale(0.9 + 0.2 * Math.sin(this.theta), 1); context.beginPath(); context.moveTo(0, 0); context.quadraticCurveTo(5, 10, 20, 8); context.quadraticCurveTo(12, 5, 10, 0); context.quadraticCurveTo(12, -5, 20, -8); context.quadraticCurveTo(5, -10, 0, 0); context.fill(); context.restore(); context.save(); context.translate(-3, 0); context.rotate((Math.PI / 3 + Math.PI / 10 * Math.sin(this.phi)) * (this.renderer.reverse ? -1 : 1)); context.beginPath(); if(this.renderer.reverse){ context.moveTo(5, 0); context.bezierCurveTo(10, 10, 10, 30, 0, 40); context.bezierCurveTo(-12, 25, -8, 10, 0, 0); }else{ context.moveTo(-5, 0); context.bezierCurveTo(-10, -10, -10, -30, 0, -40); context.bezierCurveTo(12, -25, 8, -10, 0, 0); } context.closePath(); context.fill(); context.restore(); context.restore(); this.controlStatus(context); } }; $(function(){ RENDERER.init(); });