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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$ X' ^- _$ q3 {6 p" S) f6 W
以下是程序:/ E7 \: a; u n4 e
function sounddetection( C0 H! ]3 o8 D
%参数设置
: z: C, ^) Q$ J$ `. x# R3 UsecondsToRecord = 10;
% }+ m; |8 h0 X2 S* g l8 b1 D2 DsoundThreshold = 0.05; % 0.0 ~ 1.0.6 O1 |# J( V2 A. C1 s
ai = analoginput('winsound');1 l" K5 f B: e: w$ n1 G
addchannel(ai,[1 2]);
' o, \2 W9 O0 z% n$ ?' Sset(ai, 'LogToDiskMode', 'overwrite');
6 `7 W& J/ p' o+ v' f- vset(ai, 'triggerType', 'manual');" w' w8 E$ e2 w+ ]
set(ai, 'TriggerRepeat', Inf);4 m1 Y" I) r9 X" _% L- p0 h7 H
samplesToRecord = ceil(ai.SampleRate * secondsToRecord);
3 k4 m& Q8 g2 \- B5 Zset(ai, 'SamplesPerTrigger', samplesToRecord );1 O6 D, H. N- B1 P
set(ai,'StartFcn',@soundStartFcn);3 \- s: n4 h& j2 |
set(ai, 'TimerPeriod', 0.1);# @2 U7 L* n* V- j4 |6 p" f
set(ai, 'TimeRFcn', @soundTimerFcn);: F/ C3 Z# D1 e, J6 ~( J( k; u
%创建一个figure
, f) z$ f: s/ K% R! a4 b$ y gfig = figure('DoubleBuffer','on', ..." N! H) f1 C, i, e# I
'Name', 'Intruder Detection', ...# R2 N: G$ b$ h% e* g
'NumberTitle', 'off', ...
% F5 s. N' Q& H: D'WindowStyle', 'docked', ...! J3 ]* l, \( H0 ]5 O+ ]1 @% u! q
'Toolbar', 'none', ...
/ o$ s3 k. i5 G! x'MenuBar', 'none', ...* h! O3 H! ^( z$ A$ `- P
'Color',[.5 .5 .5], ...
& m4 S% o8 H) |5 s, @'CloseRequestFcn', @figureCloseFcn, ...
5 w4 o& m8 E+ D'DeleteFcn', @figureDeleteFcn);
$ A/ X! v9 K- [: n7 [) btimePrevious = [];6 ^5 X/ B; u/ N5 h r5 C( F3 [
start(ai);# p6 B. P* Z, A2 m$ a
function soundStartFcn(vid, event)
" b6 G$ X, b8 W9 ]0 X% T1 o" ]7 L1 i: G# CtimePrevious = now;
; ^- h" j! V; Xend7 @. o8 D# x/ S/ \
function soundTimerFcn(vid, event)
# y0 D6 o+ k8 P _try
! |' W& T# J! `/ Z2 I ^8 q$ ttimeCurrent = now;# I4 D' S ^* S' `, A3 e
catch
; f+ p, @# n: a0 X0 ^; ereturn;5 i& M5 G! ]. T% x) B3 q
end q p% W0 n z, C4 V# B
samplesRequested = ceil((timeCurrent - timePrevious) * (60*60*24) *...( b; h+ s3 A- |% P9 I5 E g6 i- s
ai.SampleRate);
+ L' w; m& F) v8 o7 Kwarning('off','daq:peekdata:requestedSamplesNotAvailable');" M6 [# q* k% }' F
try
+ C& p. x: f) p" W5 psound = peekdata(ai, samplesRequested);; ^9 K& x2 T7 S3 I3 ^
catch7 K9 H! |4 l& e' |8 v* i- ~
sound = zeros(samplesRequested, length(ai.Channel));
; |, V9 h5 [; N1 i% b0 I% iend
7 {; R6 l; k) S3 o- {4 pwarning('on','daq:peekdata:requestedSamplesNotAvailable');' e0 w, P; a6 A: _
sound = sound - mean(sound(:,1)); % Center about the mean.
! |9 O4 M2 }0 dsoundMax = max(max(abs(sound))); % Calculate max deviation from mean.1 J. o. c/ y; g$ l# J3 {
timePrevious = timeCurrent;
0 M5 k6 M" r3 E& _% Make our figure current.
4 [: H, {" m- D+ S% a5 \figOld = get(0,'CurrentFigure');
6 x( s' |; j# e i8 I& c7 u: y- [if fig ~= figOld
( h8 f3 m3 g1 U5 i1 p7 Lset(0, 'CurrentFigure', fig); d' @3 W+ h, V% Z
end8 J! ~( u8 X2 z6 a* t
plot(sound);; H D1 K& B) h2 l# `5 H
% axis([0 size(sound,1) -1 1]);
B0 Z: B1 S; d$ d7 Z8 _ylim([-1 1]);( ]8 [$ Z# G, f2 a/ E; I5 n
set(gca,'XTick',[]);
3 ]* D1 w) v/ L H; B1 ]8 q5 h8 S% Look for noise." a. X9 K0 d0 [, f9 w: D7 G
if soundMax > soundThreshold% w% [, k- q% A, b [
noise = true;8 I' q) i" K9 w. |3 H
else( R) i2 B( x9 X' p4 K
noise = false;6 C ~4 S3 N1 L5 _. G
end7 e$ q7 }* ?; a! a
if ~islogging(ai)( ?0 `6 ]/ H" R) m4 b% J0 G4 S
if noise0 I3 d- c: Z/ b7 {% P. i0 u; F
set(gcf, 'Color', [1 0 0]);' {1 I0 U( k# q& I Y
% trigger(ai); {* V, Z! {7 J: i# Y3 |
% 发现高音量后的处理& e' G: {# Y$ e0 }
customIntruderAction();! c5 C4 u; O; ~/ u
else& D* d' H$ j: p& w# m9 ]: L1 n$ V
set(gcf, 'Color', [.5 .5 .5]);
+ O3 A1 |* J" p6 a' G" hend;3 r/ e( A/ [5 M+ E# ? e% E
end
9 |! n8 A, P8 l; cif fig ~= figOld, \5 D u7 H( T: K( Q, w3 F
set(0, 'CurrentFigure', figOld);
- z6 M1 s* [4 A% l5 U3 b6 cend
9 j' n2 T8 A8 X) o$ v/ `end% E& n2 j* I' G- I; }9 w
% 发现高音量后的处理
! Z) X& T! s9 z6 y9 i' L6 c9 wfunction customIntruderAction()
3 A; w6 }8 m& e" D% tts('please turn your volumn down'); % 语音报警9 V6 r% n6 H) M0 G( ] M
end9 u! E x2 N7 O* X( K. V; @- G0 T
function figureCloseFcn(obj, event)
% n2 `5 L* P- N: rtry
8 R5 K( j7 }3 O' }# `0 `4 X) Tstop(ai);8 A4 `/ \3 h& }# n4 Y' v
catch
0 ~ w" a$ w) o7 m0 ?9 q8 s" _end/ W1 ?, ?* ]$ [9 W1 L' E8 ?
closereq;9 ^. a+ {# i2 x( X2 `5 s- [& z# `
end! q. ]9 O7 w. D, ]; I
function figureDeleteFcn(obj, event). o8 Q4 i% V7 u+ p
delete(ai);
! v5 l4 F9 x: V% Y/ T0 yend) }! F: O! l. o$ [+ N" V
end
7 A, t* s% Z: w+ X& ]4 X) D* q哈哈……
8 u$ C5 b7 Q: V9 G+ |& Y程序的前提:不是有摄像头了,二是有采集装置。9 D3 v0 T7 w: l3 i/ P; y0 C
运行程序后,周围不要发出声音,可以看到波动很小," }* d$ u) O" J3 ]
然后你可以咳嗽一声或者什么的……然后图像波动变大,# Y! X3 d+ g+ e0 A
并且gui的背景变为红色……
' l1 J% X5 r* `调节相应的参数,可以调整监控的灵敏度……
: {" D% u, C6 M* o" ^# R: M9 c( Y+ X P5 C& g/ \7 T& E2 V- P8 k
2 ^) [& Y0 K. s0 h, }$ Q
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:8 Q7 [8 F9 V i
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:
# Z4 `+ B( P1 fanaloginput。查看自己电脑中支持采集声音的适配器方法:利用函数:daqhwinfo
3 I6 I9 K, S1 f+ |7 m) ]9 `0 v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,
4 E8 \, K7 G: c, G" @# E* o0 v1 ?如我的电脑:
# Y% I# o: T) l; k* Z
( T `# H6 F! R0 a>> out = daqhwinfo
+ w6 z5 `0 f( u7 n! nout =- W- n' p* P( m" p w$ c
ToolboxName: 'Data Acquisition Toolbox'' Y* `5 k9 `( X2 l' U
ToolboxVersion: '2.17 (R2010b)'
, i1 d: _* N, O6 `+ K MATLABVersion: '7.11 (R2010b)'5 U9 n1 R9 M1 D( p: f2 H
InstalledAdaptors: {2x1 cell}
6 o8 s R/ x0 G: @8 M$ ?5 `+ x>> out.InstalledAdaptors5 ?0 ?, B3 i& w# H# H1 R. K$ {! @
ans =; `9 S4 O' q; k3 }
'parallel': k$ {; p7 V: T0 G M2 p
'winsound'
0 @+ \" Y' i' q) P显示有两个:'parallel'和'winsound'1 y+ [1 i! ?( I' A+ |' N$ z6 `/ {
查看后,就可以使用函数analoginput了……
1 l2 j. O# F: ~' L利用函数analoginput返回的Object就可以进行相应的设置了:$ |! ~/ u6 v# E: ^" J4 {6 B
如:'StartFcn'、 'TimerPeriod'和'TimerFcn'等函数了……' L5 |4 t( [9 |& I- x
(和调用usb摄像头原理类似……)
" A& @, e q* `: C7 Z; d1 l" C- _然后就可以在相应的函数中进行自己的编程了……
/ ~& R4 h" n/ P7 Z2 o8 I# A0 X' S: h无声音:
" p7 t) y" o1 a4 V% z# W. \! {# d# V8 \- O* L) E
& Q; s+ d/ L1 Y7 d r% w1 ]9 w' J4 x
有声音:9 k" K3 ?4 O9 Q& t* d
1 e% \8 I+ b9 I0 s5 I* ]
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