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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……% q" T& s3 A# G$ |
以下是程序:
. ]5 Z+ h8 g0 ?; S, \) d2 cfunction sounddetection- b0 G* A* f& j; s
%参数设置
0 K* H3 f, O) ~6 k& CsecondsToRecord = 10;7 \" `1 q/ s( R0 }
soundThreshold = 0.05; % 0.0 ~ 1.0.
# A) r) u5 j/ u# p3 jai = analoginput('winsound');
* Z1 `8 ~) N) F; _addchannel(ai,[1 2]);/ v6 ]0 K Y. N3 N7 e: E6 L' y
set(ai, 'LogToDiskMode', 'overwrite');
# A, h8 ?0 C7 U7 H2 _set(ai, 'triggerType', 'manual');6 i8 o4 H4 y, a1 s( T3 \
set(ai, 'TriggerRepeat', Inf);
5 a5 v( V; t+ _: ^: a5 E$ T& X+ IsamplesToRecord = ceil(ai.SampleRate * secondsToRecord);
$ y' S; l6 l+ S7 Hset(ai, 'SamplesPerTrigger', samplesToRecord );
3 S* q* _6 [) C6 Q6 w* oset(ai,'StartFcn',@soundStartFcn);
9 s0 V9 W7 X' u8 n& |+ z# Oset(ai, 'TimerPeriod', 0.1);
5 u2 Q# Z& F4 Gset(ai, 'TimeRFcn', @soundTimerFcn);5 F/ _/ @! x& `) A/ t% R
%创建一个figure
) r# ^ S. ~$ r# k1 B4 m" L1 |' `fig = figure('DoubleBuffer','on', ...6 W; c' S9 L& Z# w
'Name', 'Intruder Detection', ...
& ?# T8 S( I0 g: T2 t'NumberTitle', 'off', ...5 n' r& x, A" \ V) O# U' i0 Y8 r
'WindowStyle', 'docked', ...! G4 e) `" ?+ O9 {2 S5 u I6 I
'Toolbar', 'none', ...
& B: U7 M5 g0 N ?! _'MenuBar', 'none', ...
7 d, g& S5 A+ k'Color',[.5 .5 .5], ...* `" S3 Q& G7 D Q5 U
'CloseRequestFcn', @figureCloseFcn, ...
) g$ g" S, Q9 |- k# ~# g% O2 ^'DeleteFcn', @figureDeleteFcn);+ n9 |. B+ P8 J4 O$ U6 O
timePrevious = [];! T9 I8 K' T" O- s
start(ai);
6 z F7 \4 @/ E) Z9 c1 {function soundStartFcn(vid, event)
P8 G3 ^( j StimePrevious = now;
* }) Z6 P2 I4 @1 [/ ^/ C9 Fend3 k& \0 }7 ^# o) L! m7 q
function soundTimerFcn(vid, event)3 i1 y4 F% t0 \
try7 v) E' P7 n* D5 d! X8 |5 S
timeCurrent = now;
7 k/ M9 W" i0 ncatch. s7 L* p. J' q, W- W: h9 [5 E) I
return;
7 f7 {& p- M1 L1 x! Z% @1 gend: w* b' N) F) l% ^) f7 E
samplesRequested = ceil((timeCurrent - timePrevious) * (60*60*24) *...
. V* y& J+ j& v) Y0 ]ai.SampleRate);
' [4 a. W5 G' O1 Zwarning('off','daq:peekdata:requestedSamplesNotAvailable');
p* g8 p4 P# J* K4 N- Otry
: ^5 A+ v7 a+ usound = peekdata(ai, samplesRequested);& f& o# M0 l* x: }3 k
catch
9 x1 E' _8 O+ \+ B, Jsound = zeros(samplesRequested, length(ai.Channel));( p# C, R# }1 R, n! q
end: i1 e; O, n' e$ e' z2 k
warning('on','daq:peekdata:requestedSamplesNotAvailable');: o6 W6 b5 J+ i7 M, n$ V) G
sound = sound - mean(sound(:,1)); % Center about the mean.
T0 ?8 @) S$ {# N* nsoundMax = max(max(abs(sound))); % Calculate max deviation from mean.
2 Q9 |' I6 Q& O1 Q& X* W6 OtimePrevious = timeCurrent;, |8 g, w: q- w
% Make our figure current.6 M9 {0 T: ?9 Z- j9 q
figOld = get(0,'CurrentFigure');0 i& `% w" z1 ?. Y
if fig ~= figOld
- g. y M: V$ ?1 W5 w0 p2 Iset(0, 'CurrentFigure', fig);$ ]9 F8 h: s6 u
end
* @0 T; J* }; w0 i* S& h/ mplot(sound);- ?8 v! u6 C0 z& b
% axis([0 size(sound,1) -1 1]); w& Y- h0 ^$ l# B) [' E2 l$ h# p1 K
ylim([-1 1]);
. O9 W! J. V! D' ^# A6 O iset(gca,'XTick',[]);$ {# Y6 V) h9 M7 j4 \! l& x
% Look for noise.$ `9 `4 c2 q: t4 _; H
if soundMax > soundThreshold
# ^* j+ u& g) v. ?5 E" u+ V% P$ mnoise = true;
3 V6 l$ m9 s7 r0 Lelse
) U) G& N* u5 [2 e' g: E3 |noise = false;
& u* ~6 w; [0 T5 |3 t$ v7 ]0 Iend
: k5 C4 g6 x- \! K/ iif ~islogging(ai): `# O7 Z$ H$ b1 D5 [9 J
if noise/ W' {2 ]# ]7 a o, k
set(gcf, 'Color', [1 0 0]);- C I& z l+ \
% trigger(ai);4 ]- m& X P; I2 G4 \# P, A1 a
% 发现高音量后的处理$ m0 Q6 n# g9 D4 s: `. @8 m
customIntruderAction();) i4 X7 S. R- c. `9 R* c( |
else
4 {! ^8 f5 |5 Y4 w( Q" A- yset(gcf, 'Color', [.5 .5 .5]);* S+ C X3 P9 v; T
end;
8 ^% a8 X0 K) J" _( d5 B; y( Z5 eend" p* z _; v% ?' k8 s
if fig ~= figOld
' Y$ z: A R( ?+ E; d; ?set(0, 'CurrentFigure', figOld);5 z8 z4 ^% A# a/ H. @3 x' I( D
end3 G; J9 W- d* i ?4 u5 h2 G
end
$ U" G( d h6 e8 O! {: q+ [) i1 _% 发现高音量后的处理7 z0 C5 n3 Q' ?" e( m3 y
function customIntruderAction()' a, \# Z& N4 B a" L( n, v# g1 J
% tts('please turn your volumn down'); % 语音报警
6 y" H3 b0 X- \end' a: R b- |* e) E! V
function figureCloseFcn(obj, event)6 k9 ?0 y0 i; f+ K/ ?$ d: }( _' D2 Y
try! w' ~$ K' U+ V' k$ r
stop(ai);
, x4 q; X: R2 O+ Icatch
* }7 g: m2 J( L' x! C9 o" lend- p: v+ y+ R* `% d- s7 u* d, F
closereq;
+ _& j- Z6 W& i9 |" ~8 I( tend
5 c" E$ q2 T/ Xfunction figureDeleteFcn(obj, event)
& _/ v/ j* h, C: I* X3 Adelete(ai);2 a/ p+ c F. ?' `
end
) R& J2 u* q8 e- X8 b1 Zend
7 l1 i8 q9 \7 _哈哈……3 S' Q) Q! x. D t; h
程序的前提:不是有摄像头了,二是有采集装置。8 F( D' F+ N% F$ k. ^2 N$ z
运行程序后,周围不要发出声音,可以看到波动很小,( W( b7 ]" z" y: `+ m
然后你可以咳嗽一声或者什么的……然后图像波动变大,7 @9 A c0 E. ?1 B
并且gui的背景变为红色……
; ~! }- ]" ~8 b. G, j. k! @' r调节相应的参数,可以调整监控的灵敏度……' p% M# }- T4 B: u) t% w/ q. w8 c
6 g# S5 E2 h5 w/ D, D! F) N: K* p2 t- ~( _) D
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:. _- a& W o6 ~( p4 F
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:
! O9 f6 ~/ r9 P$ c8 Kanaloginput。查看自己电脑中支持采集声音的适配器方法:利用函数:daqhwinfo/ A- L% H7 F4 N$ m7 z
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,
9 I4 ~2 I: y( |" h) f, E3 R如我的电脑:
5 f' b% `: ?0 M! z; E2 x6 T' |- K
3 Q N' u' d8 c1 W9 h>> out = daqhwinfo& B3 |+ z0 D1 p
out =( O) F( d3 _7 ^9 L# E# k) M, ?7 E
ToolboxName: 'Data Acquisition Toolbox'
. a$ E z! n( X5 b ToolboxVersion: '2.17 (R2010b)'
/ o! X9 l w6 I9 \! L MATLABVersion: '7.11 (R2010b)'
! `& y7 s; W; Q InstalledAdaptors: {2x1 cell}
; G, x- p* t$ o6 B7 W3 |% h3 i>> out.InstalledAdaptors
' k+ \ o% o1 ^6 Y- }; Fans =5 Z% K9 \1 T) w. ~) d8 X* A
'parallel'
7 h# W8 B9 [# ?/ s 'winsound'
% D- {8 U" J4 P: ^0 H0 w( R' X显示有两个:'parallel'和'winsound'/ b+ t6 \ \8 T2 ^
查看后,就可以使用函数analoginput了……0 M# U6 [: T9 e0 f
利用函数analoginput返回的Object就可以进行相应的设置了:
`. j1 r& w( j- k. v如:'StartFcn'、 'TimerPeriod'和'TimerFcn'等函数了……
M5 ?# e- N5 Z(和调用usb摄像头原理类似……)
8 s2 u3 r4 o, w" Q z, S" J. N然后就可以在相应的函数中进行自己的编程了……* n& }9 d+ N. x5 b; J T
无声音:
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3 O0 \6 q/ H( L% d5 Y: P4 ~$ q) s- T
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有声音:
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