matthijsvk/TIMITspeech
Speech recognition on the TIMIT (or any other) dataset
This project helps researchers and engineers analyze speech audio by classifying individual phonemes within spoken words. You provide audio files and their corresponding phoneme labels, and it trains a neural network to identify phonemes at specific points in the audio. It's designed for speech recognition researchers and those developing spoken language processing systems.
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Use this if you need to preprocess audio datasets and train a neural network for frame-wise phoneme classification to analyze speech data.
Not ideal if you're looking for a complete, out-of-the-box speech-to-text transcription system or if you specifically require a CTC-based model.
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Language
Python
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Last pushed
Nov 02, 2017
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