This repository is a curated list of awesome Speech Keyword Spotting (Wake-Up Word Detection).

Wake-up-word(WUW)system is an emerging development in recent times. Voice interaction with systems have made life ease and aids in multi-tasking. Apple, Google, Microsoft, Amazon have developed a custom wake-word engine, which are addressed by words such as ‘Hey Siri’. ‘Ok Google’, ‘Cortana’, ‘Alexa’. Our project focuses initially only detection and response to a customized wake-up command. The wake-up command used is “GOLUMOLU”. A wake-up-word detection system search for specific word and reads the word, where it rejects all other words, phrases and sounds. WUW system needs only less memory space, low computational cost and high precision. Artificial Neural Networks(ANN) have reduced the complexity, computational time, latency, thus the efficiency of system has improved. Deep learning has improved the efficiency of automatic speech recognition(SR), where wake word detection is a subset of SR but unlike keyword spotting and voice recognition. A deep learning RNN model is used for the training of the network. RNN are specifically used in case of temporal sequence data and has the ability to process data of different length but of same dimension. For training a model, labelled dataset is needed. We generated three forms of data: golumolu, negative and background. Such that, the model learns circumspectly and attentively detects when specific word found. To start communication with system, the wake word should be delivered. The main task of WUW detection system is to detect the speech, to identify WUW words among spoken words, to check whether the word spoken in altering context.

Blossom is a library for Wake-up word detection problem.

Implementing 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.

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

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."

No description available

A tensorflow 2.x implementation of real-time Wake-up Word detection & Speaker Recognition

Constructed a speech dataset and implemented 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.

Blossom is a library for Wake-up word detection problem.

wake up word detection

A wake word detection system that 'wakes up' when the wake word is spoken

No description available

This project is aimed to set up end to end Machine Learning pipeline for wake word detection in Conversational AI.

Building a wake-up word detection system for my personal assistant, Nisha. The goal is to ensure that Nisha can accurately detect the wake-up phrase while ignoring all irrelevant background conversations.

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.

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.

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.

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 using Generated Recurrent Unit model

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. Structure a speech recognition project Synthesize and process audio recordings to create train/dev datasets Train a trigger word detection model and make predictions

Trigger word detection is the technology that allows devices like Amazon Alexa, Google Home, Apple Siri, etc to wake up upon hearing a certain word. Here trigger word will be "activate". Every time it hears you say "activate", it will make a "chiming" sound.

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 model our trigger word will be "activate". Every time it hears you say "activate", it will make a "chiming" sound.

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. In this project, the trigger word will be "Activate." Every time it hears you say "activate," it will make a "chiming" sound.

It is an AI-Powered Assistant based on Computer vision Techniques. This Assistant contains Text-To-Speech, Speech Recognition, Wake-Up Word Functionality, Real-time Face Detection, Face Recognition And Emotion Analysis using Python, AI and Machine Learning Techniques

Terminus is software for a smart mirror that integrates a default, up-to-date dashboard with a terminal-like user interface with voice activation and AI. Developed using the MagicMirror² source code, this project will utilise wake-word detection and LLama2 for AI integration.