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Andrea Carmantini

2 accepted papers

2023

The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR

ICASSP 2023accepted

English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades,…

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2020

Cross Lingual Transfer Learning for Zero-Resource Domain Adaptation

ICASSP 2020accepted

We propose a method for zero-resource domain adaptation of DNN acoustic models, for use in low-resource situations where the only in-language training data available may be poorly matched to the intended target domain. Our method uses a multi-lingual model in which several DNN layers are shared betw…

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