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rdivyajd / Speech-Recognition-using-TensorFlow

TensorFlow Speech Recognition Kaggle Challenge

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Speech-Recognition-using-TensorFlow

TensorFlow Speech Recognition Kaggle Challenge to recognize simple spoken speech commands

| Authors: Divya Rajendran, Goutham Arra

Pre-Requisites / Requirements

Python3 is needed to run this code efficiently

Required Packages

pip install jupyter pandas numpy keras librosa sklearn tensorflow scipy tqdm pydub

Code

Code for the project is available here

Report

File: Report.pdf

Data

  • We have utilized TensorFlow Speech Commands Data Sets [1] containing 65000, 30 second long speech signals as a training sample.

  • We have utilized 150,000 samples of test data, available in the Kaggle Challenge to test our model accuracy.

Final Model / Analysis

We have used LSTM + CNN model

TBD

Conclusions and Limitations

TBD

References

[1]: "Warden P. Speech Commands: A public dataset for single-word speech recognition, 2017. Available from http://download.tensorflow.org/data/speech_commands_v0.01.tar.gz".

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TensorFlow Speech Recognition Kaggle Challenge