Skip to content

this repository contains end to end python script to train speech data provided by google, evaluate testing data, and submite to competition

Notifications You must be signed in to change notification settings

parthvadhadiya/TensorFlow-Speech-Recognition-Challenge

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TensorFlow-Speech-Recognition-Challenge

this repository contains end-to-end pipe line to train different speech data provided by google, evaluate testing data, and submite to kaggle competition. (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge)

Getting Started

clone repo. :- git clone https://github.com/parthvadhadiya/TensorFlow-Speech-Recognition-Challenge

download dataset :- https://www.kaggle.com/c/tensorflow-speech-recognition-challenge/data

Installing Prerequisites

=> Python3 -3.5.2

=> NumPy -1.13.1

for store and manupulate multidimensional array,

installing numpy:- sudo pip3 install numpy (obviously for windows you can enter without sudo command).

=> librosa -0.5.1

for audio analysis

installing librosa:- sudo pip3 install librosa(you can also use scipy's wav module)

=> keras -2.0.6

high-level neural networks API

installing keras:- https://keras.io/#installation

=> tqdm -4.19.4

an awsome progress meter in terminal

intalling tqdm :- sudo pip3 install tqdm

About

this repository contains end to end python script to train speech data provided by google, evaluate testing data, and submite to competition

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages