audio perception and sterotyping

audio perception and sterotyping

hello
i downloaded the MCA sdk and got a problem instaling the dotnet frame due to invalid security certificate wonder if i could get help,my aim is to run an alg using the java speech API to detect i.e stigmatising and inappropriate words that would help in diagnosing stereotypy and other socially unacceptable behaviour,an intel audio programer API was invaluable in porting my application to the hardware abstraction level,and a berkeley whitepaper described a coarse-grained traffic analysis paradigm
which helped me in understanding my peculiar network and i/o problems based on my environment,i also have a request for help on (sensing ,data processing and remote device security)rfid theory i have a writeup i can send in adition to above code
yemi

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Para obter mais informações sobre otimizações de compiladores, consulte Aviso sobre otimizações.

Hello,

There are two versions of the MCA SDK - one with .Net and one without. If you already have .Net 2.x installed on your system, you can install the MCA SDK that does not include .Net.If you do not have .Net 2.x installed then you should download and install the MCA SDK with .Net.

In your case, you may want to try them both to see if there is any difference.

Thanks,
Steve

Quoting - Steven Murray (Intel)


Hello,

There are two versions of the MCA SDK - one with .Net and one without. If you already have .Net 2.x installed on your system, you can install the MCA SDK that does not include .Net.If you do not have .Net 2.x installed then you should download and install the MCA SDK with .Net.

In your case, you may want to try them both to see if there is any difference.

Thanks,
Steve

hi steve
sorry my old bargain hunt P3 dell cant seem to handle the.net framework or my security settings are to high for
the acresso certificate to satisfy my trust requiements ,since i dont have the necessary hardware, can we talk code,i pasted this on the java forums and got a few thumbs upshere is an updated version
//its pretty convoluted but im tring to remove impedements to preception of sound due to masking,model transcutaneous stimulator using sound,and running a speech detection alg
run_Background()
import javax.speech.*;
import javax.speech.recognition.*;
import javax.sound.sampled.*;
import javax.sound.midi.*;

#include
#include
#include
#include
#include
main
{
float speech=a1;
float vocal=a;
float instrumental=b;
float Hz=c;
float
datalink(a1){
javax.speech.recognition,
javax.speech.spi,
javax.speech.synthesis{
public Voice(
public int getAge();
public int getGender();
public int getVariant();
public int hashCode();
public Locale getLocale();
void removeSpeakableMask();
compare(){a1,Range}
intersects(){a1,Range}
boolean Mask=a1(c)+Range(c)
boolean getMask();
if Mask=1;
analyseMask();
removeMask();
elseif
analyseFilters();
removeFilters();
)
}
get_Hz(){
((float)SAMPLING_RATE/bufferLength);
}
//according to physiology d resonant frequency of the joints can be //determined by the formula f outlined below
//hopefully muscle stiffness can be influenced ,and connective tissue as
//well,umh d anu mundi can be trained to resist mrs kokoro's effect
//which is a stimuli motor response actn not stimuli //category
f = resonant frequency(Hz)
k = muscle stiffness()
j = inertia(force){
sound energy(){
soundSpeed(square(260))*speakerSize()
}
//d velocity of sound changed with the concord jet tests umh its a //range?nowadays we arent really sure of constants in science
boolean f(){
(pi/2)*squareroot(k/j){datalink(calculator())}
}
get_f(){
}
analyse(a){
getRange(a){
bass,alto,soprano,};
getHz(a);
get_wavetable(a);
get_sineWave();
get_tanWave();
get_cosWave();
get_sinusoidalWave();
get_sinusoidalWave(c){noise,rhythm,timeLenght ms};
analyse_sinusoidalWave(c)=modulc;
get_modulc(){noise,rhythm,timeLenght ms,
boolean get_Pulse(){long,short,long dash,short dash,long dot,long dot}
boolean get_PCM(){Pulse,encoding{Mu-law,a-law},frame}
boolean get_MP(){Pulse,encoding{Mu-law,a-law},frame}
boolean get_AU(){Pulse,encoding{Mu-law,a-law},frame}
boolean get_AIFF(){Pulse,encoding{Mu-law,a-law},frame}
boolean get_AAC(){Pulse,encoding{Mu-law,a-law},frame}
boolean compare(){long dash=1,short dash=1,long dot=0,long dot=0 &&
long dash=0,short dash=0,long dot=1,long dot=1
}
boolean compute(){long dash=1,short dash=1,long dot=0,long dot=0 &&
long dash=0,short dash=0,long dot=1,long dot=1
}
boolean rand_compute(){(long dash=1,short dash=1,long dot=0,long dot=0 &&
long dash=0,short dash=0,long dot=1,long dot=1)
&&(encoding(){PCM,MP,AU,AIFF,AAC})
}
};
}
analyse(b){
getRange(b){
percussion,strings,cymbals};
getHz(b);
get_wavetable();
}
compare(a,b);
boolean a=a1;
if=1
compare(a1,b);
if=0
compare(a,a1);
intersects(a,b)
intersects(a1,b)
intersects(a,a1)
analyse_vocalPattern(a){
get_inflections()
get_phonemes()
get_dialects()
}
return
log(vocalPattern)
static Mixer getMixer(Mixer.Info info)
log_match(a){}
compare_vocalPatterns(){}
static Line.Info[] getSourceLineInfo(Line.Info info)
static Line.Info[] getTargetLineInfo(Line.Info info)
getLines(){}
get_Pan(){
compute(){
phantom(){pulse,
axis x,y,z,w
if
axis=4
for(i=4,i<11,i++)}
,spurious}
}
int getMaxLines(Line.Info info)
float * buffer = new float [bufferLength];
bufferlenght(){
getbuffer(){,Clips(SourceDataLines),TargetDataLines}
getBufferSize()
if
buffer=i
for(i=default,i<100,i++)
else if
default
}
}

Quoting - Steven Murray (Intel)


Hello,

There are two versions of the MCA SDK - one with .Net and one without. If you already have .Net 2.x installed on your system, you can install the MCA SDK that does not include .Net.If you do not have .Net 2.x installed then you should download and install the MCA SDK with .Net.

In your case, you may want to try them both to see if there is any difference.

Thanks,
Steve

hi steve
sorry my old bargain hunt P3 dell cant seem to handle the.net framework or my security settings are to high for
the acresso certificate to satisfy my trust requiements ,since i dont have the necessary hardware, can we talk code,i pasted this on the java forums and got a few thumbs upshere is an updated version
//its pretty convoluted but im tring to remove impedements to preception of sound due to masking,model transcutaneous stimulator using sound,and running a speech detection alg
run_Background()
import javax.speech.*;
import javax.speech.recognition.*;
import javax.sound.sampled.*;
import javax.sound.midi.*;

#include
#include
#include
#include
#include
main
{
float speech=a1;
float vocal=a;
float instrumental=b;
float Hz=c;
float
datalink(a1){
javax.speech.recognition,
javax.speech.spi,
javax.speech.synthesis{
public Voice(
public int getAge();
public int getGender();
public int getVariant();
public int hashCode();
public Locale getLocale();
void removeSpeakableMask();
compare(){a1,Range}
intersects(){a1,Range}
boolean Mask=a1(c)+Range(c)
boolean getMask();
if Mask=1;
analyseMask();
removeMask();
elseif
analyseFilters();
removeFilters();
)
}
get_Hz(){
((float)SAMPLING_RATE/bufferLength);
}
//according to physiology d resonant frequency of the joints can be //determined by the formula f outlined below
//hopefully muscle stiffness can be influenced ,and connective tissue as
//well,umh d anu mundi can be trained to resist mrs kokoro's effect
//which is a stimuli motor response actn not stimuli //category
f = resonant frequency(Hz)
k = muscle stiffness()
j = inertia(force){
sound energy(){
soundSpeed(square(260))*speakerSize()
}
//d velocity of sound changed with the concord jet tests umh its a //range?nowadays we arent really sure of constants in science
boolean f(){
(pi/2)*squareroot(k/j){datalink(calculator())}
}
get_f(){
}
analyse(a){
getRange(a){
bass,alto,soprano,};
getHz(a);
get_wavetable(a);
get_sineWave();
get_tanWave();
get_cosWave();
get_sinusoidalWave();
get_sinusoidalWave(c){noise,rhythm,timeLenght ms};
analyse_sinusoidalWave(c)=modulc;
get_modulc(){noise,rhythm,timeLenght ms,
boolean get_Pulse(){long,short,long dash,short dash,long dot,long dot}
boolean get_PCM(){Pulse,encoding{Mu-law,a-law},frame}
boolean get_MP(){Pulse,encoding{Mu-law,a-law},frame}
boolean get_AU(){Pulse,encoding{Mu-law,a-law},frame}
boolean get_AIFF(){Pulse,encoding{Mu-law,a-law},frame}
boolean get_AAC(){Pulse,encoding{Mu-law,a-law},frame}
boolean compare(){long dash=1,short dash=1,long dot=0,long dot=0 &&
long dash=0,short dash=0,long dot=1,long dot=1
}
boolean compute(){long dash=1,short dash=1,long dot=0,long dot=0 &&
long dash=0,short dash=0,long dot=1,long dot=1
}
boolean rand_compute(){(long dash=1,short dash=1,long dot=0,long dot=0 &&
long dash=0,short dash=0,long dot=1,long dot=1)
&&(encoding(){PCM,MP,AU,AIFF,AAC})
}
};
}
analyse(b){
getRange(b){
percussion,strings,cymbals};
getHz(b);
get_wavetable();
}
compare(a,b);
boolean a=a1;
if=1
compare(a1,b);
if=0
compare(a,a1);
intersects(a,b)
intersects(a1,b)
intersects(a,a1)
analyse_vocalPattern(a){
get_inflections()
get_phonemes()
get_dialects()
}
return
log(vocalPattern)
static Mixer getMixer(Mixer.Info info)
log_match(a){}
compare_vocalPatterns(){}
static Line.Info[] getSourceLineInfo(Line.Info info)
static Line.Info[] getTargetLineInfo(Line.Info info)
getLines(){}
get_Pan(){
compute(){
phantom(){pulse,
axis x,y,z,w
if
axis=4
for(i=4,i<11,i++)}
,spurious}
}
int getMaxLines(Line.Info info)
float * buffer = new float [bufferLength];
bufferlenght(){
getbuffer(){,Clips(SourceDataLines),TargetDataLines}
getBufferSize()
if
buffer=i
for(i=default,i<100,i++)
else if
default
}
}

Hello yemioyehotmail.com

I am not sure it would be appropriate for us to provide comments on your code since it is not specific to the MCA SDK. If you have additional MCA SDK specific questions let us know and will be happy to address them.

Thanks,
Steve

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