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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……
, F8 ]# j& Z c以下是程序:
; o: e; t6 O0 e3 Y3 Rfunction sounddetection$ e' b: {6 c3 J+ W( j) C
%参数设置$ u8 o {3 f- q* i% ~" d& L+ {
secondsToRecord = 10;
1 h2 r( o1 b; \# p0 m! qsoundThreshold = 0.05; % 0.0 ~ 1.0.! P& u% y# c, T* z. W7 G5 }6 A/ E9 a
ai = analoginput('winsound');2 W$ M1 _( U: c3 i$ @8 [5 \1 A
addchannel(ai,[1 2]);3 S a2 A$ ]; M) b" U4 u, _( |' T. S* x
set(ai, 'LogToDiskMode', 'overwrite');
# V7 L7 v k n+ q2 v% S |. t7 w- @set(ai, 'triggerType', 'manual');
9 J1 g8 M) q7 V: }set(ai, 'TriggerRepeat', Inf);
5 r+ U! _6 Z4 h, c; s6 i# OsamplesToRecord = ceil(ai.SampleRate * secondsToRecord);% D/ `0 I- @4 b e6 p1 c
set(ai, 'SamplesPerTrigger', samplesToRecord );& ~; h: q$ W5 R* B6 C4 t
set(ai,'StartFcn',@soundStartFcn);7 I+ ]$ `& b+ W1 y9 {
set(ai, 'TimerPeriod', 0.1);
. Q' C, r( ^) x5 o6 c7 }8 hset(ai, 'TimeRFcn', @soundTimerFcn);
/ b4 o# @, } M%创建一个figure, T# p6 x" n0 E9 {9 t1 I( a; P) U
fig = figure('DoubleBuffer','on', ...
5 \% T) i$ A& p* M+ A1 A3 J+ q; i'Name', 'Intruder Detection', ...3 \/ q" {* l& ?" x. ?5 s
'NumberTitle', 'off', ...+ G% u) P7 l) Q0 q+ P# y8 T
'WindowStyle', 'docked', ...
. g7 S( K0 h% E8 t! R) f2 N'Toolbar', 'none', ...
0 x- A/ `" z# x4 H9 b; c4 J2 {$ j+ r'MenuBar', 'none', ...
" K3 o8 N# s& w( z) C4 [% U'Color',[.5 .5 .5], ...
# V t, Q; \6 [1 f'CloseRequestFcn', @figureCloseFcn, ...
" n4 H" b i! h7 a- C4 b'DeleteFcn', @figureDeleteFcn);" _! G! B9 d4 I! @' Z5 }* p
timePrevious = [];% [# O: [9 p: K* e
start(ai);& [4 I/ x6 X) e3 M' |( h- T* Y5 R F
function soundStartFcn(vid, event)
8 g7 k6 n6 |6 j& StimePrevious = now;
- `% \# N6 I; E( q. m0 Z1 f+ Dend
4 w1 N& g% f) ~5 o4 wfunction soundTimerFcn(vid, event)
: ]! V' t$ y. q( s$ mtry
8 S0 N7 H: }) k9 ~timeCurrent = now;6 y0 v4 C6 F8 p% J" ?" ?7 ~2 [
catch
6 [7 v j; H. y( J# Treturn;: h: s. ~2 V+ i% g, {& }: Q
end
: A4 _, Y& j G# esamplesRequested = ceil((timeCurrent - timePrevious) * (60*60*24) *...& F% V6 u- j# x8 ^( a2 O1 O
ai.SampleRate);
6 q' L7 I+ F0 r& N2 z4 R) X- rwarning('off','daq:peekdata:requestedSamplesNotAvailable');
5 `7 n6 K/ J/ r# q/ vtry6 l' t3 _3 ~( K. K: f) K
sound = peekdata(ai, samplesRequested);. M4 I3 c; `. p, E; [3 {% j
catch
4 T& |- r1 a- u* h6 I9 c0 I4 R2 A/ qsound = zeros(samplesRequested, length(ai.Channel));1 k3 q) u @; A# P
end
: l/ |9 G' ]0 D; {9 Twarning('on','daq:peekdata:requestedSamplesNotAvailable');6 O8 j+ N1 g( N% w
sound = sound - mean(sound(:,1)); % Center about the mean.5 y" X3 P5 C$ K* i
soundMax = max(max(abs(sound))); % Calculate max deviation from mean.
7 k- A7 R' z- Z }) `! n0 \$ F' utimePrevious = timeCurrent;
% }3 Y5 D7 q$ w& {$ B" }1 s% Make our figure current.
7 J6 h# g l. y3 x7 p- r! k( }figOld = get(0,'CurrentFigure');8 h% ]( F: T, z7 x2 r B+ N
if fig ~= figOld
% N+ z% D& H/ c* m7 D8 L3 R' d8 Qset(0, 'CurrentFigure', fig);
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plot(sound);
/ Z8 T; Q' i2 |& D1 m( v6 z% axis([0 size(sound,1) -1 1]);! T# s/ `( Z0 k+ \ j) N
ylim([-1 1]);
( x0 }0 O2 c; Z) @! \/ t; n% lset(gca,'XTick',[]);, H$ G0 q0 E% A1 Y) W
% Look for noise.
+ j$ T4 x' M& y- j7 l9 g9 M% d: Bif soundMax > soundThreshold/ w% v" M4 b7 D: j3 s
noise = true;
3 ?' v8 _8 ~$ O7 V" K# b/ v# selse3 ?: `1 d& v$ b% p/ p5 S( g" G
noise = false;
! b' E2 [( g% Y# d0 S. A$ n ~end; I( T) [8 e; s% ^5 U' x- [
if ~islogging(ai)
' }0 A2 [* U: p+ n/ Q% g! X$ n% T7 Zif noise8 U( H/ b, Z- |& H2 R' z8 S% }+ y
set(gcf, 'Color', [1 0 0]);" X; Z) `1 ?: G1 Z$ O! e3 a6 F
% trigger(ai);
& O/ z; R- i0 f) a& o& C% 发现高音量后的处理: N1 V. k- c$ L
customIntruderAction();: y' j5 Y0 x+ ~: c& G
else S$ L8 P5 r8 J3 Z, l6 ^
set(gcf, 'Color', [.5 .5 .5]); F6 R0 `3 J4 R, w# B. I
end;
: g& o3 t) A+ l+ B6 K9 ^end
8 d, {- ]0 D1 w' U2 \, z$ Aif fig ~= figOld
- Z5 y' c# X5 Iset(0, 'CurrentFigure', figOld);
, {6 h3 H! f1 Y7 N N9 o* Z' \end
0 r I3 w1 K3 p$ @ T1 ]8 oend, s$ U" o0 z9 ^! c3 q/ i
% 发现高音量后的处理! j0 Z' K5 \2 `$ ]
function customIntruderAction()
4 w5 j/ X* Y9 k& W4 q% tts('please turn your volumn down'); % 语音报警# s- J- I) f* |" e+ G t- R
end |7 D5 v% Y* c
function figureCloseFcn(obj, event)# o# o3 F# u2 R" ?: b- W5 Q
try% Z( k* A( q; R+ N9 \8 s/ O+ H; r
stop(ai);9 z' p- ~# e, d Q% V; u: m
catch
4 u3 T5 k9 v F$ e% send+ e$ b+ w5 {8 j' {9 H
closereq;, R% |" S" i& e
end1 O, P6 P# C, ]3 c; Z0 k i
function figureDeleteFcn(obj, event)
7 D7 q; L: T# O! qdelete(ai);) q9 P- ^$ `% a; _9 P" E" M- B
end
' n$ x j- A( D& @end' C5 d. O# C0 g! V f. p& M x
哈哈……- K4 f; J: z. d/ L2 I2 z
程序的前提:不是有摄像头了,二是有采集装置。( Q0 ~' E6 f- X
运行程序后,周围不要发出声音,可以看到波动很小,
, |4 C$ B2 u) S4 Y& c然后你可以咳嗽一声或者什么的……然后图像波动变大,
$ x4 C! u k1 _% \# d并且gui的背景变为红色……$ [7 z5 k0 N. t/ v7 c+ L. a
调节相应的参数,可以调整监控的灵敏度……' x, y1 b# l# v# k/ G2 Q/ u
1 y8 e6 b( H0 K# T, o
, G% y8 m3 f9 R# d- E+ R! k3 @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:+ [: [0 V2 s$ F4 p6 W/ e
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:+ b3 e" t! c [9 D! n
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
, q( H5 m9 Z, B: Y1 f+ W6 ~) O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,
" K2 B$ u/ V8 v! Q$ a% h如我的电脑:. _* `+ }* d" g9 w
+ N! c" A& J1 Y3 l) c9 s6 S: p: }
>> out = daqhwinfo
9 X8 {* e# L! j% j9 K4 @, `out =
! W5 d2 y h. e ToolboxName: 'Data Acquisition Toolbox'
% |8 M c; m/ Y6 M/ W7 s ToolboxVersion: '2.17 (R2010b)'
+ U; K9 n/ R% a MATLABVersion: '7.11 (R2010b)'* g n1 p: f4 W( S- i
InstalledAdaptors: {2x1 cell}
2 E3 U8 p% Q' |2 C2 p! W( F5 l( n4 S>> out.InstalledAdaptors
7 g1 j m! w2 e% c/ pans =$ `" r! D {" d1 `1 _( E1 W
'parallel'6 O# a8 R. i- d4 n; q% |
'winsound'
& S: J, D8 }: c% b4 |: i! t显示有两个:'parallel'和'winsound'* c7 v$ N9 p: A+ b4 z- }
查看后,就可以使用函数analoginput了……
2 I' \3 Q9 r" e- A3 N利用函数analoginput返回的Object就可以进行相应的设置了: F! i, E$ E6 c X6 g& ~
如:'StartFcn'、 'TimerPeriod'和'TimerFcn'等函数了……
8 f4 v- W) Z7 G; t$ J(和调用usb摄像头原理类似……)) W8 C+ d/ @( l! U& t; e
然后就可以在相应的函数中进行自己的编程了……9 \# H) u5 Z: w
无声音:
7 [: [* Y% t' ]4 L6 m, D1 K6 E% ~3 W. |3 t3 z) k g
4 Z+ d: I4 Q6 @6 E2 v1 M0 K" {$ I0 G6 r3 s
有声音:
. S9 p, x$ r! U7 K# ]( y s5 {2 v8 W) s/ b/ _5 e
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