mhagglun/Speech-Recognition
Tensorflow implementation for Speech Recognition using Convolutional Neural Networks. The trained model is deployable on a Raspberry Pi to classify spoken words.
This project helps you create a system that can understand a limited set of spoken words. You feed it audio recordings of specific commands like "yes," "no," or "stop," and it produces a model capable of recognizing these words. This is ideal for hobbyists, educators, or engineers building small, voice-controlled devices, especially those using Raspberry Pis.
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Use this if you need to build a simple, localized voice command system that can classify a predefined set of spoken words for a low-power device.
Not ideal if you need to understand natural language, a large vocabulary, or deploy on systems other than a Raspberry Pi.
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Sep 14, 2021
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