Deep Learning / trigger word detection

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In this notebook, we will construct a speech dataset and implement an algorithm for trigger word detection (sometimes also called keyword detection, or wakeword detection). Trigger word detection is the technology that allows devices like Amazon Alexa, Google Home, Apple Siri, and Baidu DuerOS to wake up upon hearing a certain word. For this exercise, our trigger word will be "Activate." Every time it hears you say "activate," it will make a "chiming" sound. By the end of this assignment, you will be able to record a clip of yourself talking, and have the algorithm trigger a chime when it detects you saying "activate."

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Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

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porcupine 🌿
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On-device wake word detection powered by deep learning

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This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

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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

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