A pruned version of the open source framework 'openwakeword' by David Scripka
Project description
Intro
openWakeWord is an open-source wakeword library that can be used to create voice-enabled applications and interfaces. It includes pre-trained models for common words & phrases that work well in real-world environments.
This is forked repo. See original repo for details.
Changes in this fork
This fork prunes code related to custom model training and verification.
By avoiding importing modules related to custom models such as sklearn, it saves ~33MB of memory.
It proves to be useful on memory constrained devices, such as the Raspberry Pi Zero series.
Installation
Run:
pip install openwakeword-pruned
Check out other configs in the original repo.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file openwakeword-pruned-0.5.1.tar.gz.
File metadata
- Download URL: openwakeword-pruned-0.5.1.tar.gz
- Upload date:
- Size: 16.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f3942522893c9af7f24d7fe3bdecf9795aadecda5648d8d9f8dadb96c1cabf99
|
|
| MD5 |
b6d133285a4be6eb7578cb00d2a09531
|
|
| BLAKE2b-256 |
249b7f7ac468589f89de5b239bfe26e1ac72eb52c0d85e62b98dd13f2c99d66e
|
File details
Details for the file openwakeword_pruned-0.5.1-py3-none-any.whl.
File metadata
- Download URL: openwakeword_pruned-0.5.1-py3-none-any.whl
- Upload date:
- Size: 16.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eee9198a0228aab067f59834bc551ef356d36de34f6019b75b2060d658d80976
|
|
| MD5 |
80ba9251356afebb06a1749bfc4e3055
|
|
| BLAKE2b-256 |
25d85433bd26f6493e875c03ab109e87eaea8178c136938033eb4203c49d629a
|
