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?

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

Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR

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.

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

Coursera - RNN Programming Assignment: In this project, we will construct a speech dataset and implement an algorithm for trigger word detection (sometimes also called keyword detection, or wake word detection).

This model will be able to detect the trigger words.

CrafyWakeWord it's a library focused on AI-based wake word recognition

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

Sequence Models coding assignments

make trigger-word-detection app with python and tensorflow and pytorch

Trigger Word Detection from live audio

🕵️‍♀️ an implementation of the Dell Hackathon game steganography

A Browser Extension that removes triggering content from pages

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

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

Recurrent neural network with GRUs for trigger word detection from an audio clip

Wakeword Detection using INMP441