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Recognizing audio with MLK - Contenido educativo

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Subido el 21 de febrero de 2026 por David G.

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Welcome back to this another machine learning tutorial. Today we're going to create a project 00:00:05
that is based on sound and in this project we'll train a computer to understand an alien language 00:00:09
or our language and we'll use that we'll use that model of sound and language to control 00:00:16
an alien character. Okay so let's get started. First of all this is your dashboard and once 00:00:24
log in you will see this go to projects and click on add new project okay so this project will be 00:00:29
named as this project will be named as alien language and the recognizing model is sound 00:00:37
okay let's press create after that once you clear once you have created this project you 00:00:50
will just click on this project and go to train okay so this is the background noise block and 00:00:57
we have to give it some examples of our background noise without even speaking so the computer can 00:01:04
recognize which is our sound and which is the background noise okay so we'll just click add 00:01:09
example and stay silent and let the background noise fill the fill these examples make sure that 00:01:14
you add multiple examples I would suggest that you add at least ten okay 00:01:27
so once you are done with ten examples of for background noise we'll create a 00:01:33
new label go to this add new label and we'll create a label for left and in 00:01:37
this label will add examples of us speaking left ten times so the start by 00:01:44
creating ad example click on this button and say left left left left okay so as 00:01:50
you can see that these all examples of left have a pictorical representation 00:02:05
and as you can see that these are quite similar to each other because these are 00:02:10
the representation of sound waves and once you say left then that left will be 00:02:14
similar to the previous left okay so we'll just create a new label and this 00:02:21
time we'll name them right and add the examples for right right right okay so 00:02:26
once we have ten examples each of background noise left and right you can 00:02:40
add as many words and commands as you like but for this example we're gonna go 00:02:44
with left and right okay you can go back to project and go to learn and test and 00:02:48
test this machine learning model train this new machine learning model okay so 00:02:55
it will start training machine learning model and it will take some time so wait 00:03:04
for it and if in a minute it says training from training it says available 00:03:09
then you are ready to go if it takes more than a minute prior refreshing your 00:03:15
page and let's see when this when it's available okay so as you can see that 00:03:19
this model to the training model is now available and it's trained so we can test it by making a 00:03:28
sound and recognizing and seeing that how it is recognized by the computer so we'll click on start 00:03:36
listing and produce a sound and then we'll click on stop listening and then we'll see how the 00:03:43
computer recognizes that okay so you can start listening left okay now we can test this model 00:03:49
by click and start listening left right yeah so it works right it recognizes left as left 00:04:04
and right is right okay so we'll go back to project and we'll create something 00:04:17
using this model and we'll go for that we'll go to make and use scratch 3. 00:04:21
Idioma/s:
en
Materias:
Tecnología
Etiquetas:
Inteligencia Artificial
Niveles educativos:
▼ Mostrar / ocultar niveles
  • Educación Secundaria Obligatoria
    • Ordinaria
      • Primer Ciclo
        • Primer Curso
        • Segundo Curso
      • Segundo Ciclo
        • Tercer Curso
        • Cuarto Curso
        • Diversificacion Curricular 1
        • Diversificacion Curricular 2
    • Compensatoria
Autor/es:
https://www.youtube.com/@procode8021
Subido por:
David G.
Licencia:
Reconocimiento - No comercial - Compartir igual
Visualizaciones:
6
Fecha:
21 de febrero de 2026 - 13:33
Visibilidad:
Público
Centro:
IES MARIE CURIE Loeches
Duración:
04′ 29″
Relación de aspecto:
1.78:1
Resolución:
640x360 píxeles
Tamaño:
13.66 MBytes

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