Spoken-Keyword-Spotting
spokestack-python
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| Spoken-Keyword-Spotting | spokestack-python | |
|---|---|---|
| 1 | 7 | |
| 80 | 132 | |
| - | - | |
| 0.0 | 3.3 | |
| over 1 year ago | over 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Spoken-Keyword-Spotting
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How to train large deep learning models as a startup
The search term you're looking for is "Keyword Spotting" - and that's what's implemented locally for ~embedded devices that sit and wait for something relevant to come along so that they know when to start sending data up to the mothership (or even turn on additional higher-power cores locally).
Here's an example repo that might be interesting (from initial impressions, though there are many more out there) : https://github.com/vineeths96/Spoken-Keyword-Spotting
spokestack-python
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We're making it super easy to use voice in Python, and we want your feedback!
Our AutoML service will let you [redacted because we're not ready to say it publicly yet], using your own voice. Combining [redacted] with existing open-source SDK libraries & tutorials for [Python](https://github.com/spokestack/spokestack-python) allows you to utilize cutting-edge personalized voice technology.
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Sunday Daily Thread: What's everyone working on this week?
I’ve been working on this project for a while now. I’m really interested to discover if other developers want to add voice to their python projects.
I’ll be working on integrating spokestack into home-assistant
- Spokestack: Python Library for Voice Applications
- Spokestack: Embedded Voice Library for Python
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I love home assistant and I work on TTS in my day job. Should I do an add-on or an integration?
Ok so that’s my main concern. It seems like for distribution an integration is the way to go. Library is this for better context.
- Python Embedded Voice Library
What are some alternatives?
pocketsphinx - A small speech recognizer
picovoice - On-device voice assistant platform powered by deep learning
svm-pytorch - Linear SVM with PyTorch
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Porcupine - On-device wake word detection powered by deep learning
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Caffe2
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
neptune-client - 📘 The MLOps stack component for experiment tracking
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Caffe - Caffe: a fast open framework for deep learning.