vectominist/End-to-end-ASR-Pytorch-DLHLP
Joint CTC-Attention End-to-end Speech Recognition - PyTorch Implementation (Deep Learning for Human Language Processing Special Project)
This project helps speech technologists and researchers build and experiment with automatic speech recognition (ASR) systems. It takes audio recordings as input and outputs the transcribed text, enabling the creation of custom voice assistants or transcription services. It is ideal for those involved in developing or improving speech-to-text technology, especially for specific domains or nuanced audio like whispered speech.
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Use this if you are a speech recognition researcher or engineer looking to train and test advanced end-to-end ASR models, especially with options for layer-wise transfer learning or whispered speech processing.
Not ideal if you are looking for an out-of-the-box solution for general speech transcription without deep technical customization, or if you do not have access to GPU hardware for training.
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Python
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MIT
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Last pushed
Nov 22, 2020
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