GitHub / sagardoy / Simple-Speech-Command-Algorithm
The purpose of this project was to build an algorithm that can understand a small library of 10 simple commands while being able to ignore, or distinguish from, unknown commands. I submitted this work for the Udacity Machine Learning Engineer Nanodegree in June 2018.
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PURL: pkg:github/sagardoy/Simple-Speech-Command-Algorithm
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 19.5 MB
Dependencies parsed at: Pending
Created at: about 7 years ago
Updated at: over 1 year ago
Pushed at: about 7 years ago
Last synced at: over 1 year ago
Topics: cepstral, convolutional-neural-networks, deep-learning, discrete-cosine-transform, discrete-fourrier-transform, keras, mel-frequencies, numpy, python-3, scipy, speech-recognition, tensorflow, udacity-machine-learning-nanodegree