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End-to-end neural automatic speech recognition system for low resource languages

The rising popularity of end-to-end (E2E) automatic speech recognition (ASR) systems can be attributed to their ability to learn complex speech patterns directly from raw data, eliminating the need for intricate feature extraction pipelines and handcrafted language models. E2E-ASR systems have consi...

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Principais autores: Sami Dhahbi, Nasir Saleem, Sami Bourouis, Mouhebeddine Berrima, Elena Verdú
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-03-01
Serier:Egyptian Informatics Journal
Fag:
Speech recognition
Deep learning
Low-resource language
E2E learning
Data augmentation
Synthetic speech
Online adgang:http://www.sciencedirect.com/science/article/pii/S1110866525000088
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