-
Notifications
You must be signed in to change notification settings - Fork 0
/
training.js
62 lines (53 loc) · 1.39 KB
/
training.js
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
// training functions
function trainSound() {
// train the sound
console.log('at training: ', loudness > loudnessThreshold, singleTrigger);
if (loudness > loudnessThreshold && singleTrigger) {
machine.learn(mfcc, currentClass);
totalNumSamples++;
currentNumSamples++;
console.log(currentNumSamples);
// fill(255, 0, 0);
noStroke();
// ellipse(width - 400, 35, 25, 25);
singleTrigger = false;
startTime = millis();
console.log('training');
}
}
function forgetPreviousRecording() {
machine.db().splice(0, currentNumSamples);
totalNumSamples -= currentNumSamples;
}
function soundDataCallback(soundData) {
soundReady = true;
mfcc = soundData.mfcc;
loudness = soundData.loudness.total;
for (let i = 0; i < 13; i++) {
normalized[i] = map(mfcc[i], -10, 30, 0, 1);
}
}
function saveData() {
const soundData = JSON.stringify(machine.db());
const sounds = db.collection('sounds');
sounds
.doc('latest')
.set({
soundData,
})
.then(function(doc) {
console.log('Success');
document.getElementById('save-success').style.display = 'block';
})
.catch(function(error) {
console.log('Error getting document:', error);
});
function finished(err) {
if (err) {
console.log('ooops, something went wrong.');
console.log(err);
} else {
console.log('Data saved successfully');
}
}
}