On-device wake word detection powered by deep learning
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Updated
Jun 28, 2024 - Python
On-device wake word detection powered by deep learning
A lightweight, simple-to-use, RNN wake word listener
On-device voice assistant platform powered by deep learning
🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
Wake word detection modeling toolkit for Firefox Voice, supporting open datasets like Speech Commands and Common Voice.
wake word engine benchmark framework
Jarvis Home Automation
Classify audio with neural nets on embedded systems like the Raspberry Pi
Experiments to test different speech recognition systems for SEPIA Framework
Raspberry pi based humanoid robot.
End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM
GPT powered personal voice assistant, immitates GLaDOS from Portal.
OpenVoiceOS Voice Satellite
Recognition of 38 speech commands in russian. Based on Yandex Cup 2021 ML Challenge: ASR
This model will be able to detect the trigger words.
vosk wake word plugin for mycroft
This project presents Hera, an Operating System level voice recognition package that understands voice commands to perform actions to simplify the user’s workflow. We propose a modernistic way of interacting with Linux systems, where the latency of conventional physical inputs are minimized through the use of natural language speech recognition.
Build a Wake Word Detection model for Voice Assistant using PyTorch
Wake-word tools and implementations for S.E.P.I.A.
CrafyWakeWord it's a library focused on AI-based wake word recognition
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