Dirk Van Compernolle

2 accepted papers

2017

Exploiting sequential Low-Rank Factorization for multilingual DNNS

ICASSP 2017accepted

DNNs have shown remarkable performance in multilingual scenarios; however, these models are often too large in size that adaptation to a target language with relatively small amount of data cannot be well accomplished. In our previous work, we utilized Low-Rank Factorization (LRF) using singular val…

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2016

A study of rank-constrained multilingual DNNS for low-resource ASR

Reza Sahraeian, Dirk Van Compernolle

ICASSP 2016accepted

Multilingual Deep Neural Networks (DNNs) have been successfully used to exploit out-of-language data to improve under-resourced ASR. In this paper, we improve on a multilingual DNN by utilizing low-rank factorization (LRF) of weight matrices via Singular Value Decomposition (SVD) to sparsify a multi…

Cited by 0 Source ↗Scholar ↗