Search Results for author: Animesh Prasad

Found 9 papers, 3 papers with code

Distribution augmentation for low-resource expressive text-to-speech

no code implementations13 Feb 2022 Mateusz Lajszczak, Animesh Prasad, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte, Arnaud Joly, Marco Nicolis, Alexis Moinet, Thomas Drugman, Trevor Wood, Elena Sokolova

This paper presents a novel data augmentation technique for text-to-speech (TTS), that allows to generate new (text, audio) training examples without requiring any additional data.

Data Augmentation

Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction

no code implementations NAACL 2019 Animesh Prasad, Min-Yen Kan

Graph Convolutional Networks (GCNs) are a class of spectral clustering techniques that leverage localized convolution filters to perform supervised classification directly on graphical structures.

Keyphrase Extraction

Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records

no code implementations17 Jul 2018 Animesh Prasad, Hervé Déjean, Jean-Luc Meunier, Max Weidemann, Johannes Michael, Gundram Leifert

In this report, we present our findings from benchmarking experiments for information extraction on historical handwritten marriage records Esposalles from IEHHR - ICDAR 2017 robust reading competition.

Handwritten Text Recognition named-entity-recognition +1

WING-NUS at SemEval-2017 Task 10: Keyphrase Extraction and Classification as Joint Sequence Labeling

no code implementations SEMEVAL 2017 Animesh Prasad, Min-Yen Kan

We describe an end-to-end pipeline processing approach for SemEval 2017{'}s Task 10 to extract keyphrases and their relations from scientific publications.

General Classification Keyphrase Extraction

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