Exploring the Viability of Sequence-to-Sequence Models for Automatic Speech Recognition in Peer-to-Peer Learning Environments
Author:
Affiliation:
1. Juraj Dobrila University of Pula,Faculty of Informatics,Pula,Croatia
2. University of Rijeka,Faculty of Informatics and Digital Technologies,Rijeka,Croatia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10638519/10638507/10638622.pdf?arnumber=10638622
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1. English-Hindi Neural Machine Translation-LSTM Seq2Seq and ConvS2S
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3. Abstract Text Summarization with a Convolutional Seq2seq Model;Zhang;Applied Sciences,2019
4. Abstractive social media text summarization using selective rein-forced Seq2Seq attention model;Liang;Neurocomputing,2020
5. Neural Abstractive Text Summarization with Sequence-to-Sequence Models
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