Spoken-Keyword-Spotting
svm-pytorch
| Spoken-Keyword-Spotting | svm-pytorch | |
|---|---|---|
| 1 | 1 | |
| 80 | 159 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 9 months ago | |
| Python | Python | |
| MIT License | MIT License |
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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
svm-pytorch
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CNN-SVM
For example, take a look at this SVM implementation in Pytorch: https://github.com/kazuto1011/svm-pytorch.
What are some alternatives?
pocketsphinx - A small speech recognizer
dzetsaka - dzetsaka : classification plugin for Qgis
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
TitanicPassangerSurvivalPredictor - A Web-App that uses Machine-Learning to predict a persons chances of surviving the Titanic Wreckage as a Passenger
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.
Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.
SuperStyl - Supervised Stylometry
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ML_twitter_celebs - Machine Learning project that given a dataset of tweets posted on twitter by certain peoples, learner predicts which person tweeted what.