A multi-purpose audio-visual corpus for multi-modal Persian speech recognition: The Arman-AV dataset-Reference-Cited by-同舟云学术

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A multi-purpose audio-visual corpus for multi-modal Persian speech recognition: The Arman-AV dataset

Published:2024-03 Issue: Volume:238 Page:121648
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Peymanfard Javad,Heydarian Samin,Lashini Ali^ORCID,Zeinali Hossein,Mohammadi Mohammad Reza,Mozayani Nasser^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference57 articles.

1. Deep audio-visual speech recognition;Afouras;IEEE Transactions on Pattern Analysis and Machine Intelligence,2018

2. LRS3-TED: A large-scale dataset for visual speech recognition;Afouras,2018

3. ASR is all you need: Cross-modal distillation for lip reading;Afouras,2020

4. Sub-word level lip reading with visual attention;Afouras,2021

5. Clustering Persian viseme using phoneme subspace for developing visual speech application;Aghaahmadi;Multimedia Tools and Applications,2013

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