Kyubyong/tacotron_asr
Speech Recognition Using Tacotron
Adapts the Tacotron text-to-speech architecture for automatic speech recognition by reversing the task flow—converting mel-spectrogram and linear spectrogram inputs to character-level text output. Built on TensorFlow 1.1 with attention-based encoder-decoder networks and trained on the World English Bible dataset (audio paired with verse-level text transcriptions). Demonstrates competitive results on long-form speech recognition while showcasing the architectural flexibility of the original Tacotron model for inverse tasks.
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164
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39
Language
Python
License
Apache-2.0
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Last pushed
Sep 20, 2017
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