On-device wake word detection powered by deep learning
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Updated
Nov 25, 2024 - Python
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
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
Wakeword Detection using INMP441
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
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