TIMIT Speech Recognition with Neural Networds (PyLearn2)

This is a series of implementation of Neural Networks, applied to a Speech Recognition problem, with the TIMIT database.

For the feature extraction part, the voicebox and rastamat libraries (Matlab) are needed.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
Feature Extraction		Feature Extraction
models		models
timit		timit
timitCons		timitCons
timitConsSmall		timitConsSmall
timitConsonants20ms9Frames_MFCC		timitConsonants20ms9Frames_MFCC
timitVowels20ms9Frames_MFCC		timitVowels20ms9Frames_MFCC
timitVowels_train75_valid25		timitVowels_train75_valid25
Graphs.pptx		Graphs.pptx
ML_Presentazione_Ortolani.pdf		ML_Presentazione_Ortolani.pdf
README.md		README.md

Provide feedback