pico-wake-word VS tensorflow-on-arm

Compare pico-wake-word vs tensorflow-on-arm and see what are their differences.

pico-wake-word

MicroSpeech Wake Word example on the Raspberry Pi Pico. This is a port of the example on the TensorFlow repository. (by henriwoodcock)
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pico-wake-word tensorflow-on-arm
1 2
54 1,047
- -
1.8 0.0
almost 3 years ago over 2 years ago
CMake Shell
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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pico-wake-word

Posts with mentions or reviews of pico-wake-word. We have used some of these posts to build our list of alternatives and similar projects.

tensorflow-on-arm

Posts with mentions or reviews of tensorflow-on-arm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-13.

What are some alternatives?

When comparing pico-wake-word and tensorflow-on-arm you can also consider the following projects:

Porcupine   - On-device wake word detection powered by deep learning

jetson-containers - Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

mycroft-precise - A lightweight, simple-to-use, RNN wake word listener

DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

emlearn - Machine Learning inference engine for Microcontrollers and Embedded devices

pastey - A lightweight, self-hosted paste platform

wiringPi-mock - A dummy wiringPi library, for compiling on non-raspberry pi platforms

HTTP-Shortcuts - Android app to create home screen shortcuts that trigger arbitrary HTTP requests

PrivateBin - A minimalist, open source online pastebin where the server has zero knowledge of pasted data. Data is encrypted/decrypted in the browser using 256 bits AES.

docker-arm-cross-toolchain - Modern GCC cross-compilation toolchains for Raspberry Pi

termpad - A (self hosted) pastebin for easily sharing text right from the terminal