On-device wake word detection powered by deep learning
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Updated
Jun 19, 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?
Keras 응용(CNN, RNN, GAN, DNN, ETC...) 사용법 예시
Construct a speech dataset and implement an algorithm for trigger word detection (sometimes also called keyword detection, or wakeword detection).
Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020
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.
Sequence Models coding assignments
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.
Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR
make trigger-word-detection app with python and tensorflow and pytorch
Recurrent neural network with GRUs for trigger word detection from an audio clip
🕵️♀️ an implementation of the Dell Hackathon game steganography
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
Wakeword Detection using INMP441
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 from live audio
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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