How to do Real Time Trigger Word Detection with Keras | DLology

An implementation of trigger word detection using keras, for detecting digits spoken in an audio

In this repo you can find implementations of advanced deep learning using Keras and Tensorflow like NLP using GloVe model, Autonomous driving application using YOLO, Trigger word detection model using LSTM, Neural machine translation and others deployed in the Deep Learning Specialization of deeplearnin.ai in Coursera

Keras audio trigger word detection

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Trigger word detection application using Keras, which triggers an action whenever you say the trigger word "Activate". The action in this case is producing a "chiming" sound.

A Keras trigger word detection system built from zero, based on Andrew ng's deep learning specialization on Coursera.

Using TF Keras to implement a Convolution to GRU sequence to sequence network for trigger word detection. Also synthesized audio dataset

Implemented GRU based Recurrent Neural Network with time distributed dense layers (using Keras and TensorFlow) to detect the sound of a trigger word. Trained and tested it against a custom dataset achieving an accuracy of 94%.