Abstract: Revealing the latent low-dimensional geometric structure of high-dimensional data is a crucial task in unsupervised representation learning. Traditional manifold learning, as a typical ...

Abstract: Parallel dataset which needs large number of aligned sources and target language pairings have traditionally been used to develop speech to speech translation system. This study presents a ...