Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Function to extract dataset #50

Open
JNaranjo-Alcazar opened this issue Nov 30, 2021 · 1 comment
Open

Function to extract dataset #50

JNaranjo-Alcazar opened this issue Nov 30, 2021 · 1 comment
Assignees
Labels
enhancement New feature or request
Projects

Comments

@JNaranjo-Alcazar
Copy link
Owner

Haz una función que dado un extractor de características (LEAF, Gammatone o Spectrogram), extraiga estas características y guarde una matriz de dimensiones:
NUMERO DE MUESTRAS x BINES FRECUENIALES x FRAMES TEMPORALES x 1

Deberá haber dos matrices, una de entrenamiento y otro de validación.

Por ejemplo, si hay 9000 muestras de entrenamiento y elegimos hacer 64 bines frecuenciales y tenemos 500 frames temporales,
la matriz será de dimensión

9000 x 64 x 500 x 1

@JNaranjo-Alcazar JNaranjo-Alcazar added the enhancement New feature or request label Nov 30, 2021
@JNaranjo-Alcazar JNaranjo-Alcazar added this to To do in TFG josep via automation Nov 30, 2021
@JNaranjo-Alcazar JNaranjo-Alcazar moved this from To do to Next To Do in TFG josep Nov 30, 2021
@JNaranjo-Alcazar JNaranjo-Alcazar added this to the Audio representation milestone Dec 3, 2021
@JNaranjo-Alcazar
Copy link
Owner Author

@JNaranjo-Alcazar JNaranjo-Alcazar moved this from Next To Do to In progress in TFG josep Jan 20, 2022
@JNaranjo-Alcazar JNaranjo-Alcazar moved this from In progress to Pending review in TFG josep Feb 10, 2022
@JNaranjo-Alcazar JNaranjo-Alcazar moved this from Pending review to Done in TFG josep May 3, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
Development

No branches or pull requests

2 participants