Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text only


Automatic speech recognition (ASR) has been widely researched with supervised approaches, while many lowresourced languages lack audio-text aligned data, and supervised methods cannot be applied on them. In this work, we propose a framework to achieve unsupervised ASR on a read English speech dataset, where audio and text are unaligned. In the first stage… (More)

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