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Benjamin Bigot

2 accepted papers

2016

Combining non-negative matrix factorization and deep neural networks for speech enhancement and automatic speech recognition

ICASSP 2016accepted

Sparse Non-negative Matrix Factorization (SNMF) and Deep Neural Networks (DNN) have emerged individually as two efficient machine learning techniques for single-channel speech enhancement. Nevertheless, there are only few works investigating the combination of SNMF and DNN for speech enhancement and…

Cited by 0SourceScholar
2016

Feature-enriched word embeddings for named entity recognition in open-domain conversations

ICASSP 2016accepted

Named entity recognition (NER) from open-domain conversation is challenging due to the informality of spoken language. Instead of increasing the size of labeled data, which is expensive and time-consuming, word embeddings learned from unlabeled data have been used by NER models to handle data sparsi…

Cited by 0SourceScholar