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声音监控,有东西发出声音就进行报警:纯m文件编程实现……
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EDA365欢迎您登录!您需要 登录 才可以下载或查看,没有帐号?注册  7 S- K4 S, C8 w/ I; w* S; I( w  D以下是程序:
 7 ]9 }% |+ _- H& r- Pfunction sounddetection0 {5 y$ k3 B: S0 h, V, y
 %参数设置
 ! u1 z7 p+ X% E/ P. p  A/ _4 R) A# nsecondsToRecord = 10;) \, n  A" y0 U% l4 \# @! R
 soundThreshold = 0.05; % 0.0 ~ 1.0.
 % @1 N* A; r2 V0 G" `ai = analoginput('winsound');
 9 o& F/ f) h# ?1 S- a. Laddchannel(ai,[1 2]);
 2 ?% W; F9 I2 C4 \set(ai, 'LogToDiskMode', 'overwrite');
 " w6 F3 z* {3 s6 l0 Rset(ai, 'triggerType', 'manual');+ C( S+ {$ p, c+ s0 w" I0 Q
 set(ai, 'TriggerRepeat', Inf);
 2 [( P& o; b5 _. \9 n" I5 ~samplesToRecord = ceil(ai.SampleRate * secondsToRecord);  V' p% c1 z' d: S" t9 y  P  A' b
 set(ai, 'SamplesPerTrigger', samplesToRecord );6 ?$ @8 H1 A# I4 t5 X* y: \
 set(ai,'StartFcn',@soundStartFcn);
 7 ^/ Z+ c, c. s. @3 @. j9 Lset(ai, 'TimerPeriod', 0.1);
 ( x+ h4 }+ C9 ?: O$ Pset(ai, 'TimeRFcn', @soundTimerFcn);0 q: L7 T8 O8 M7 s# z6 ~# ^) o: o! `
 %创建一个figure
 + i: C. I; m+ l3 z; Lfig = figure('DoubleBuffer','on', ...4 U) Y( S) [3 f/ P: g
 'Name', 'Intruder Detection', ...
 . x# F% e  C; |2 V# N'NumberTitle', 'off', ...
 & w. z, x8 j* ?9 n7 o  }  ~'WindowStyle', 'docked', ...% X$ x. Z8 ^3 w  M
 'Toolbar', 'none', ...
 m' o& R; x2 a9 E: l2 K'MenuBar', 'none', ...7 K# O+ k% w% W3 Y4 I3 T% |# u1 O
 'Color',[.5 .5 .5], ...: _* T; v& V, ?5 s" B
 'CloseRequestFcn', @figureCloseFcn, ...7 _* G/ g# ^$ u# I" ^1 ]
 'DeleteFcn', @figureDeleteFcn);
 4 p7 W8 |& }, u! AtimePrevious = [];3 Y( R9 J  S( C1 p4 M7 e
 start(ai);' [# s7 p+ L2 B7 y. D
 function soundStartFcn(vid, event)
 - W: K/ J: I8 q; S  utimePrevious = now;6 f) V" }; I4 v7 w8 a4 y& j
 end; F# J! T, Q& ?' Q/ U  b; m' e1 c
 function soundTimerFcn(vid, event)
 " r# X. Q/ D  N% R* v8 k! h( Stry- }6 F. j+ z# u, j1 {
 timeCurrent = now;
 / [! \  r( u1 L2 B8 n+ g8 t5 |. Vcatch! j2 l3 T  T/ x: k/ }  @0 {
 return;9 }- ~5 M2 j' ^3 m, ~# g6 U
 end6 W' b5 w7 p! {
 samplesRequested = ceil((timeCurrent - timePrevious) * (60*60*24) *..., T2 `& a2 B* d: d, ]
 ai.SampleRate);
 9 i6 s+ n' }' {; q; c/ Fwarning('off','daq:peekdata:requestedSamplesNotAvailable');1 M( ^' X* ^( I* B! }6 x/ ]# U8 R
 try
 ; r: s1 j" c* ~( c5 y6 Psound = peekdata(ai, samplesRequested);
 $ b# P5 k# j1 rcatch* V1 B' ]7 q) E' p1 \6 c5 Z
 sound = zeros(samplesRequested, length(ai.Channel));
 " N$ |+ G5 S) i. n* Rend! h) X! L# _- X  X! y; y7 L5 F
 warning('on','daq:peekdata:requestedSamplesNotAvailable');4 c1 s( G  L/ [$ C, r
 sound = sound - mean(sound(:,1)); % Center about the mean.
 4 D5 g6 e7 `/ n$ S; [( z# b+ YsoundMax = max(max(abs(sound))); % Calculate max deviation from mean.' }+ K- o1 ]& X1 A8 Y8 U
 timePrevious = timeCurrent;+ i2 k- h. ^5 a3 Y. Q* ?* `% M
 % Make our figure current.
 7 L7 Q8 n5 \  T  `figOld = get(0,'CurrentFigure');7 ~# G$ B: ~+ Y2 S6 I3 f
 if fig ~= figOld
 . L& D. B) v: f0 c. h2 h( ~/ Lset(0, 'CurrentFigure', fig);
 , C2 \1 |0 j$ lend# X- K/ c7 V* L" Y+ {* n. ]
 plot(sound);) p% L: T' X- M5 S/ T3 z
 % axis([0 size(sound,1) -1 1]);
 3 C/ h# @: U. [( O0 A/ q# k7 n, jylim([-1 1]);- s- B4 T' }" B9 E: c' z
 set(gca,'XTick',[]);1 Z2 N9 C, L: d3 L! ~$ o
 % Look for noise.
 8 y/ Y/ E5 t9 m, y0 P0 x1 hif soundMax > soundThreshold: E) @$ B. c+ ?
 noise = true;# g; m$ V0 s: m8 G0 D( f
 else  v% ~, f1 D- W- j$ I0 S
 noise = false;- o7 u- j7 I9 ]* B
 end
 . ^1 v. T  b, J6 t0 u. r$ y% k3 aif ~islogging(ai)( ?( y" v. ~# K. x5 Q& }7 a, W
 if noise  T$ H, b8 i+ _* G- B
 set(gcf, 'Color', [1 0 0]);: r8 p# ~1 R) B9 {" }
 % trigger(ai);
 ! a# s2 d3 ?4 j4 ]4 W5 w% 发现高音量后的处理' a6 X: n2 j# |6 e$ {. Q0 D
 customIntruderAction();
 # g! {) W! R4 U9 T4 Felse5 m/ G; @. S+ i* v$ f
 set(gcf, 'Color', [.5 .5 .5]);
 1 Q+ o& E3 I6 f; iend;+ Y; [+ t3 Q; M& ~4 T' ~- e
 end, v$ @& t7 a5 [/ S4 r+ H, b' @
 if fig ~= figOld# R4 j! `  C: G# r/ Q
 set(0, 'CurrentFigure', figOld);+ l1 S+ ~: J$ L5 R- ]
 end
 5 U1 o$ ^! {5 s6 s/ ]5 R7 bend: M5 d- J# @) ?7 M! E; }# F8 N
 % 发现高音量后的处理& X! U0 X4 |% u3 v
 function customIntruderAction()
 ; o: d/ @) f: Y1 J( a, t% tts('please turn your volumn down'); % 语音报警
 * x! T) t, V& r% l4 W3 ]end
 ! T, \0 f0 G6 o1 }function figureCloseFcn(obj, event)
 : ?( e( n* j& z- d7 e: ?try4 ]( v+ q3 Z, B5 Y
 stop(ai);
 ) _8 X/ ?6 N, C9 l: o- jcatch6 ~9 F1 g' Z) J3 c. K# u, c* _# p
 end, _- s" M/ V* W# r9 }
 closereq;3 @+ Y2 J$ P7 S% Q* s, |4 Z; D
 end
 1 c5 B/ e" G& l3 K/ Ufunction figureDeleteFcn(obj, event)
 + x& Y  ?4 z) B# R6 M3 gdelete(ai);4 {, o6 A1 I5 K2 i$ l; k6 q
 end
 ) p3 _2 M  F6 I$ ^3 g0 g+ Send
 . r; l4 t" ^" p3 V: L哈哈……
 v7 o! Y' _9 q; O4 M# g程序的前提:不是有摄像头了,二是有采集装置。
 6 |+ B5 d. R3 b运行程序后,周围不要发出声音,可以看到波动很小,$ z% C% S+ V8 P2 w/ f! [" U
 然后你可以咳嗽一声或者什么的……然后图像波动变大,
 6 U& w+ O9 I& o并且gui的背景变为红色……
 ( z2 B. H8 `0 M8 @2 \) u# @调节相应的参数,可以调整监控的灵敏度……" O+ m9 R. j, l2 F; S
 
 * Q5 P$ r1 X& m, @3 ~# D8 U4 H) E5 M( w/ E3 N/ J
 顺便在此介绍一下matalb中利用声音采集装置进行采集的一些方法:+ }5 h9 u1 h. V! b
 类似于matlab调用视频时的videoinput函数,采集声音时,也后相应的函数:/ K0 w9 t( n) t1 }
 analoginput。查看自己电脑中支持采集声音的适配器方法:利用函数:daqhwinfo
 # p0 G4 h' l8 s返回值中有一个InstalLEDAdaptors的变量,查看此变量就可以发现自己电脑所带的相应的适配器,
 / R2 r2 _7 }' k" {: ^' b) @如我的电脑:$ Q2 e/ k. @! a, ]8 L7 A
 
 3 x* [4 O' u2 T: x, d>> out = daqhwinfo9 P3 i. t5 x( B! h
 out =( V7 j0 t9 d% b) J2 P
 ToolboxName: 'Data Acquisition Toolbox'% K4 N; `* z  b/ w/ b, r" X9 F: ~
 ToolboxVersion: '2.17 (R2010b)'
 ' ?$ e! E! G% F& y( b, L* Q3 r        MATLABVersion: '7.11 (R2010b)'$ X5 A+ f1 ], Y" W+ K
 InstalledAdaptors: {2x1 cell}
 ; N+ X0 f" f5 |7 d3 ~; ^) B>> out.InstalledAdaptors
 7 W, a0 y  G% e/ V& Oans =
 & E* o  N4 M( e' ]0 O    'parallel'
 6 ]3 w( l- p9 Z( j+ c    'winsound'
 / |: N7 _5 u5 x" v6 l: p: h显示有两个:'parallel'和'winsound'
 K& w6 w% {. q查看后,就可以使用函数analoginput了……& {" O4 Y1 S0 o# a( [1 V5 D( l
 利用函数analoginput返回的Object就可以进行相应的设置了:1 m& }6 J4 b0 S6 [( Z
 如:'StartFcn'、 'TimerPeriod'和'TimerFcn'等函数了……
 ! A- C9 p7 H6 C* u(和调用usb摄像头原理类似……)
 2 s3 U8 k. P2 j% T2 b' O然后就可以在相应的函数中进行自己的编程了……5 Z7 f5 y, N) }9 U% u
 无声音:  ~7 a. s2 I( l  w5 @
 5 _! ]; E/ x  h
 . \5 K' ]5 E# m! X3 ^
 * A0 ^% s4 o! H$ H) R* C  n
 有声音:
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