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Speech-to-speech Translation between Untranscribed Unknown Languages
[article]
2019
arXiv
pre-print
In this paper, we explore a method for training speech-to-speech translation tasks without any transcription or linguistic supervision. Our proposed method consists of two steps: First, we train and generate discrete representation with unsupervised term discovery with a discrete quantized autoencoder. Second, we train a sequence-to-sequence model that directly maps the source language speech to the target language's discrete representation. Our proposed method can directly generate target
arXiv:1910.00795v2
fatcat:hi57dybnjrfbjcbq2ejoick2eq