Code Monkey home page Code Monkey logo

tf_speech_recognition's Introduction

tf_speech_recognition

Simple convolutional neural network for words recognition


Train

Put your dataset into ./dataset/, then run:

python train.py --words one,two,three

See argparser function for more arguments

You can see dataset directory structure in ./tests/dataset/ (testing model trained on tensorflow speech commands dataset).

After training you can find trained models in ./train/ directory.


Recognize

python recognize.py \
    --wav_file audio_to_recognize.wav \
    --labels_file ./train/labels.txt \
    --model_file ./train/model.ckpt-10000

It will print something like this:

350 two
1000 one
1400 _unknown_
...

where number - offset in milliseconds, word - recognized label.

tf_speech_recognition's People

Contributors

oupirum avatar

Stargazers

 avatar  avatar  avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.