Searched for: subject%3A%22speech%255C%2Brepresentation%255C%2Blearning%22
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Wang, X. (author), Tian, Tian (author), Zhu, Jihua (author), Scharenborg, O.E. (author)
In the case of unwritten languages, acoustic models cannot be trained in the standard way, i.e., using speech and textual transcriptions. Recently, several methods have been proposed to learn speech representations using images, i.e., using visual grounding. Existing studies have focused on scene images. Here, we investigate whether fine...
conference paper 2021
Tian, Tian (author)
Visually grounded speech representation learning has shown to be useful in the field of speech representation learning. Studies of learning visually grounded speech embedding adopted speech-image cross-modal retrieval task to evaluate the models, since the cross-modal retrieval task allows to jointly learn both modalities and find their...
master thesis 2020