data:image/png;base64,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:executa no modo turbo _
pt:as amostras de som com _ Hz de _ s amostrado a _ Hz
ca:_ Hz durant _ segons amb mostreig de _ Hz
440a 55=55
a 110=110
a 220=220
a 440=440
a 880=880
a 1760=1760
a 3520=352014410022.05 kHz=22050
44.1 kHz=44100
88.2 kHz=88200
96 kHz=96000pt:π
pt:_ radianos em graus
ca:graus de _ radiants
0.5pt:o som _
ca:so de nom _
§_soundsMenuquickly plot the samples of a sound, a list of samples (single channel), or a list of lists (multiple channels) to the stage at a lower resolution.pt:desenha o gráfico do som _
ca:dibuixa el so _
§_soundsMenu1offset-2records an audio snippet and reports it as a new sound, or zero if the user cancelspt:$circleSolid-1-255-0-0 uma nova gravação
ca:$circleSolid-1-255-0-0 enregistra
truept:a nota com _ Hz
ca:nota de _ Hz
440pt:a frequência da nota _
ca:freqüència (hz) de la nota _
69pt:o nome da nota _
ca:nom de la nota _
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1239Saved2savedto_radspect_sizespect_size2spect_size3phasevar converted = new List();
var maximum = Math.ceil(spect_size2);
for (var i = 1; i <= maximum; i++) {
var size = converted.length();
var vol = Math.max((((saved.at(i)/255)**4)*10)-Math.max(0.035+(i*(0.4/spect_size3)),0),0)*2;
var pitch = ((i/1.45)/(spect_size));
var phase2 = phase.at(i);
for (var j = 1; j <= 2048; j++) {
var neww = Math.sin((j*to_rad*pitch) + (phase2*to_rad*pitch))*vol;
if (size < j) {
converted.add(neww);
} else {
converted.put(converted.at(j)+neww,j);
}
}
}
return converted;