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20172020
most citedAutomatic Text Summarization Approaches to Speed up Topic Model Learning Process

1 citations · 2 across the 4 of their papers we have counts for

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Showing 2019Show all

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eess.AS2019

Real to H-space Encoder for Speech Recognition

Titouan Parcollet, Mohamed Morchid, Georges Linarès +1

Deep neural networks (DNNs) and more precisely recurrent neural networks (RNNs) are at the core of modern automatic speech recognition systems, due to their efficiency to process i…

cs.CL2019

M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding

Titouan Parcollet, Mohamed Morchid, Xavier Bost +1

Deep learning is at the core of recent spoken language understanding (SLU) related tasks. More precisely, deep neural networks (DNNs) drastically increased the performances of SLU…