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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……
. p4 `1 o& Q$ V* z; l( ~$ D以下是程序:' ^# c/ E/ Y$ `4 {; d/ l* H( f
function sounddetection
1 ]$ U2 q. [5 h; a%参数设置
) g9 d- R0 L8 CsecondsToRecord = 10;
0 l& H$ E+ p+ t$ e4 _# rsoundThreshold = 0.05; % 0.0 ~ 1.0.
( k: y# i$ B+ F* Y! h. {8 {: g: Mai = analoginput('winsound');
) g' ?# z, r" o) Z/ n- Paddchannel(ai,[1 2]);% z7 C W) c4 l0 ?" p
set(ai, 'LogToDiskMode', 'overwrite');
# E+ w" U) x7 g7 W: M9 {set(ai, 'triggerType', 'manual');
. ~! x0 O8 L7 u0 ]# k! f' cset(ai, 'TriggerRepeat', Inf);
) C" ~" j+ @. w* OsamplesToRecord = ceil(ai.SampleRate * secondsToRecord);, F7 M7 |. t Q$ p( u
set(ai, 'SamplesPerTrigger', samplesToRecord );
1 l+ P+ ]2 ?" d5 X! y B7 jset(ai,'StartFcn',@soundStartFcn);1 ]' [1 t) W; r& q) ^8 ?' m
set(ai, 'TimerPeriod', 0.1);
# c- A) F3 g! J0 {% `9 Hset(ai, 'TimeRFcn', @soundTimerFcn);
$ m! q7 b" `6 ^$ o9 g. u5 H* z" N%创建一个figure
$ s- D9 u9 |! x3 t' @fig = figure('DoubleBuffer','on', ...; K$ e8 |' f' K4 ]. i {/ i! i
'Name', 'Intruder Detection', ...
' E, r9 `3 D5 M+ F( }* V4 J1 |'NumberTitle', 'off', ... K% [5 H' }" t) v" B
'WindowStyle', 'docked', ...
2 }% K% V; F% T'Toolbar', 'none', ...6 t j( z1 \& Z/ p; \1 ]+ v: B
'MenuBar', 'none', ...8 q7 L/ i$ F- g
'Color',[.5 .5 .5], .... a3 F( Z" ~& n }" N
'CloseRequestFcn', @figureCloseFcn, ...
; i" @. [7 B7 e# h; i" o'DeleteFcn', @figureDeleteFcn);
9 o! A5 ^3 @+ @4 q! YtimePrevious = [];( ~6 y. g0 v( Z7 A- U9 m3 [ N; Z
start(ai);! w6 N7 R$ z8 }" {7 H! R/ H5 D3 s
function soundStartFcn(vid, event)
" o0 ^& O5 H* e H9 vtimePrevious = now;
8 s( c2 @8 C- [* R X& ^end8 q& O. \0 a1 O% x
function soundTimerFcn(vid, event)
" Z3 K o% w# e" t& h2 P% Atry x% O4 m$ k5 E4 p
timeCurrent = now;
- V( R" t& \6 X6 s& x+ W2 {catch
$ H/ a- n: F* g9 n: t$ L. v8 Kreturn;0 y7 x Y! k* I* `) ?, x
end$ J% ^& P8 ^9 M4 K ?) |7 ~
samplesRequested = ceil((timeCurrent - timePrevious) * (60*60*24) *...
) e2 t7 W% T' r. a7 t3 }) Pai.SampleRate);
" Q o. k. M6 v6 F! ]& y( Xwarning('off','daq:peekdata:requestedSamplesNotAvailable');
3 Q' P) \! G0 ktry H; f, o5 r! {. F' W- h/ Y6 [# I3 e
sound = peekdata(ai, samplesRequested);
7 C# G& Y5 P9 d4 T$ y+ icatch. ~5 _( R3 T$ I
sound = zeros(samplesRequested, length(ai.Channel));
# b$ G" w% p/ ]0 y" _0 |) Z6 y/ uend# W' @0 y+ w( ?
warning('on','daq:peekdata:requestedSamplesNotAvailable');
# Q1 K4 X2 ~2 c: v) Vsound = sound - mean(sound(:,1)); % Center about the mean.5 Q; b4 u* i/ y% I7 s
soundMax = max(max(abs(sound))); % Calculate max deviation from mean.
# E8 b, g& b: C- |timePrevious = timeCurrent; z D8 b: q# l# I% Q8 t
% Make our figure current.8 K) e3 @* Y; C8 ~- y% C! S
figOld = get(0,'CurrentFigure');' d6 r: W A4 u* g4 @
if fig ~= figOld
' Z1 u" s0 l* u7 v" nset(0, 'CurrentFigure', fig);
+ B$ m: N( y0 @* V3 Y& d! tend
) @! |3 a0 F* L! p) I `7 jplot(sound);
. C% M4 R0 e, M* Y! U* x; \% axis([0 size(sound,1) -1 1]);" h/ m$ Y) W( q, c. t. ]3 B6 q y
ylim([-1 1]);
) E9 c. i4 j3 p' C x5 z* @" ?set(gca,'XTick',[]);
8 o. g5 Q7 s% }, S% Look for noise.5 A7 ~- h' h9 ~% O4 t
if soundMax > soundThreshold
0 u( d7 m* x& w! p4 U3 G! d9 }noise = true; H; {5 o8 V% S7 f
else
9 {) M1 e5 j4 |/ `( U! ?( t7 tnoise = false;" i4 G3 T& N( V' p5 x
end; G' j4 \! X# h5 H5 @9 [6 U. V& }& I
if ~islogging(ai)2 ^1 j. `. P f- _+ Y
if noise. Z* d# G- s, S8 }1 @( w* Q4 B
set(gcf, 'Color', [1 0 0]);2 x% P9 ?1 g! y& c
% trigger(ai);; F/ H3 \/ M. R" E2 ^! K% m) [
% 发现高音量后的处理
- y( C6 v5 z) _( p/ AcustomIntruderAction();
2 d: K) H H4 X/ Ielse) q9 }5 R4 u9 W
set(gcf, 'Color', [.5 .5 .5]);
; S. m. L% ]& v i$ F2 ?' b+ Qend;
7 [- ?+ H4 t+ g2 P$ c2 M3 rend$ z4 {; v# f) U7 A ~7 a
if fig ~= figOld
5 ]5 c [! H0 f8 a2 ]& l. J- {5 Wset(0, 'CurrentFigure', figOld);
Z% r1 J! ~# Q+ j; M# ]6 Zend2 ]# K* Q F( O3 j% [
end6 {- E1 V; s" C) y6 h
% 发现高音量后的处理5 l# o6 G6 d, w. m
function customIntruderAction()
1 h6 w( s3 z( V% tts('please turn your volumn down'); % 语音报警3 O( A4 T) V7 B6 f: M% T1 z3 V
end
0 a8 M$ y6 y! {function figureCloseFcn(obj, event)
. V1 `& x5 _* ~8 B3 g" K6 qtry
* f) D& p, ]' i5 Gstop(ai);
" t7 [: V* Y* ^0 |9 {catch
& Q2 x7 j+ r, G: i; ]end
1 G: B5 B' Y6 Z$ U+ U yclosereq;
% ^* z* W2 ]$ g hend! S1 f# D5 H1 h4 ^4 k
function figureDeleteFcn(obj, event)
( o$ s2 ~' R5 k3 i3 a% W. i) K0 w& Ydelete(ai);
8 R. t3 G) H& \+ ~( a* R6 Jend
# x- Z( K% m. e7 w. Jend4 \" a, h! b& H) h! G; \5 P
哈哈……
7 V! f& Q S) w. u7 f! Y程序的前提:不是有摄像头了,二是有采集装置。
, S: H& E( L7 C. M) f4 J运行程序后,周围不要发出声音,可以看到波动很小,/ G. Y4 p5 ^( {2 ~8 E
然后你可以咳嗽一声或者什么的……然后图像波动变大,/ M. v6 a( c0 ]6 w; J: a# }
并且gui的背景变为红色……; W8 h3 K& i$ ^9 h# K1 K/ ?
调节相应的参数,可以调整监控的灵敏度……
! J- o. {2 x2 T! ~: O8 c1 m8 Z' W8 v l
1 G; }3 F. E7 o& h/ M* r" i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:
' m( C8 Z% m F5 u. e2 C) p+ U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:
( S1 S( E9 t6 p1 j! c; ]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
8 Z. t) } Q/ F, A" L+ a3 A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,
" |8 N# ~8 n0 ^% i如我的电脑:' H5 ~ R/ J+ W9 @/ ]
?, ^. Q+ Z0 f: C>> out = daqhwinfo
. @% y; {) Z* T Yout =5 i5 ]; k! ^) u2 L
ToolboxName: 'Data Acquisition Toolbox'
. z* f* D7 s2 Q4 V/ u1 |) X0 C8 B ToolboxVersion: '2.17 (R2010b)'2 G" M. A2 H9 @3 P% _3 Z1 d
MATLABVersion: '7.11 (R2010b)'
; `( d& b! V2 m& M/ p InstalledAdaptors: {2x1 cell}& h8 `% Z$ S7 [) Y8 g+ ?
>> out.InstalledAdaptors
, Y) G! f) U" [5 C5 t, Tans =+ T$ N( p5 n( T t8 x
'parallel'' W0 J, m2 e) |' _9 c
'winsound'
* b: j9 B$ ]3 |2 t: G显示有两个:'parallel'和'winsound'# V! s; e3 y$ e4 A3 m5 r
查看后,就可以使用函数analoginput了……1 d" x3 D. x S- H$ G4 b+ m% Z
利用函数analoginput返回的Object就可以进行相应的设置了:
7 b: Y' u' J3 m( O! o# O如:'StartFcn'、 'TimerPeriod'和'TimerFcn'等函数了……5 M2 Z0 y4 c4 [5 ?. Z4 g5 R2 @" e
(和调用usb摄像头原理类似……)
+ n5 w& {) z% h然后就可以在相应的函数中进行自己的编程了……: `. o4 c: y$ i3 B% ~+ ]
无声音:
4 Z1 R. b" ?& |: {5 [& v
6 N( J Q9 g0 c9 _, K4 e; Q$ u
9 ^! u( n) ^! _3 `$ Z* ]+ b2 J% ^/ H( d
有声音:
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