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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,…

Cited by 49SourceScholar
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…

Cited by 0SourceScholar