spokestack-python
snowboy
| spokestack-python | snowboy | |
|---|---|---|
| 7 | 6 | |
| 132 | 2,973 | |
| - | 1.5% | |
| 3.3 | 0.0 | |
| over 2 years ago | over 2 years ago | |
| Python | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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
snowboy
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How to train large deep learning models as a startup
Great question. This is technically referred to as "Wake Word Detection". You run a really small model locally that is just processing 500ms (for example) of audio at a time through a light weight CNN or RNN. The idea here is that it's just binary classification (vs actual speech recognition).
There are some open source libraries that make this relatively easy:
- https://github.com/Kitt-AI/snowboy (looks to be shutdown now)
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Getting Rid of Dust / 1.0.0-beta.4
Leon uses Snowboy for its hotword detection. Unfortunately the project has been discontinued and is suffering from the lack of maintainability.
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Self-Made-Robot: Review Robots Projects
Voice recognition: Snowboy Hotword Detection - closed 2020-12-31
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Build A Raspberry Pi Amazon Echo in 7 Steps: A Tutorial
For step 6, setting up the wake word, the post recommends KITT.AI or Sensory, but Kitt is closing down and Sensory is not free. Do you know of any other services that are still around and well maintained?
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Sunday Daily Thread: What's everyone working on this week?
Looks really nice and clean! Have you by chance tested out the snowboy hotword detector https://github.com/Kitt-AI/snowboy? (Just noticed that they are actually shutting down)
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help executing tasks with assistant using autovoice.
hi, i just checked it and really loved the plugin, but saw that the site that used to analyze the voice to make a new hotword (https://github.com/Kitt-AI/snowboy) got shut down at 31/12/2020, and i havent find any other place that can do that :(
What are some alternatives?
picovoice - On-device voice assistant platform powered by deep learning
Porcupine - On-device wake word detection powered by deep learning
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
pocketsphinx - A small speech recognizer
BalancingWii - Self balancing robot (Segway) based on modified/extended MultiWii 2.3 firmware.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Leon - 🧠 Leon is your open-source personal assistant.
Caffe2
Express - Fast, unopinionated, minimalist web framework for node.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
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.