verrannt/snn_speechrec
Convolutional Spiking Neural Network to recognize speech utterances using Spike-Timing-Dependent Plasticity
This project helps researchers and academics working with speech signals to explore an unsupervised approach to speech recognition. It takes raw speech recordings, processes them into features, and outputs classified speech utterances without needing labeled training data. This is ideal for those researching or applying advanced neural network architectures to audio processing.
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Use this if you are a researcher or academic interested in experimenting with unsupervised speech recognition techniques, specifically those involving spiking neural networks and spike-timing-dependent plasticity.
Not ideal if you need a production-ready speech recognition system or a solution that offers the highest classification accuracy on complex, real-world datasets.
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Language
Python
License
GPL-3.0
Category
Last pushed
Mar 09, 2021
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