There are 4 repositories under trigger-word-detection topic.
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
This model will be able to detect the trigger words.
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).
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
CrafyWakeWord it's a library focused on AI-based wake word recognition
A Browser Extension that removes triggering content from pages
Trigger Word Detection from live audio
An implementation of trigger word detection using keras, for detecting digits spoken in an audio
Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020
Recurrent neural network with GRUs for trigger word detection from an audio clip
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.
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
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.
Trigger word detection
Wakeword Detection using INMP441
Natural Language Processing
An AI-powered voice automation tool for IoT, integrating voice-triggered commands, OpenAI-driven intent recognition, and HTTP server management for seamless control of smart devices