aminul-huq/Speech-Command-Classification
Speech command classification on Speech-Command v0.02 dataset using PyTorch and torchaudio. In this example, three models have been trained using the raw signal waveforms, MFCC features and MelSpectogram features.
This project helps classify short spoken commands, like "yes" or "no," from audio recordings. It takes raw audio signals or common audio features as input and outputs the predicted command, allowing applications to react to specific voice inputs. It's designed for someone building voice-controlled interfaces or systems that need to understand simple spoken instructions.
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Use this if you need to identify predefined single-word or short phrase commands from spoken audio for applications like smart home devices, accessibility tools, or interactive voice systems.
Not ideal if you need to transcribe long-form speech, understand complex sentences, or detect arbitrary words not included in a fixed command list.
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Python
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Last pushed
Dec 05, 2022
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