cdyangbo/end2endASR
implement end-to-end asr algorithm with tensorflow
This project helps researchers and engineers build and customize their own automatic speech recognition (ASR) systems. You can input audio recordings, particularly large datasets like LibriSpeech (English) or THCHS-30 (Chinese), to train a model. The output is a trained ASR model capable of transcribing spoken language into text.
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Use this if you are a machine learning researcher or engineer who needs to develop, train, and evaluate custom end-to-end speech recognition models using your own audio datasets.
Not ideal if you are looking for a ready-to-use speech-to-text application without needing to get involved in model training or customization.
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Python
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Last pushed
Aug 23, 2018
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