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Santelli Claudio

1 paper hereh-index 12 citations1 works total

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  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • eess.AS1

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most citedA fully recurrent feature extraction for single channel speech enhancement

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

eess.AS2020★ 5 cited

A fully recurrent feature extraction for single channel speech enhancement

Muhammed PV Shifas, Santelli Claudio, Vassilis Tsiaras +1

Convolutional neural network (CNN) modules are widely being used to build high-end speech enhancement neural models. However, the feature extraction power of vanilla CNN modules ha…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.