On-device wake word detection powered by deep learning.

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

Won't it be cool to build a speech assistant like Alexa or Siri yourself without voice API and network connection?

Keras 응용(CNN, RNN, GAN, DNN, ETC...) 사용법 예시

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

Construct a speech dataset and implement an algorithm for trigger word detection (sometimes also called keyword detection, or wakeword detection).

This model will be able to detect the trigger words.

Trigger Word Detection from live audio

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

Sequence Models repository for all projects and programming assignments of Course 5 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Natural Language Processing, Word Embeddings and Attention Model.

A repo for solutions of Andrew Ng's Deep Learning course on Coursera

Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020

Includes projects and assignment from Sequence Model course from Deep Learning Specialization from Coursera.Includes works on how to build a RNN with only python function and without using any framework. Other projects such as LSTM concepts & implementation, Machine translation, trigger word detection, word vector representation etc

유튜브 비속어 음성 자동 필터링 - 제 9회 투빅스 컨퍼런스

This bot, commonly referred to as Henry, has many capabilities. Most significant, the option to add triggers to which Henry will respond to whatever trigger words you supply him with.