Automatic speech recognition for an under-resourced language - amharic

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paper

Creator:

SolWol

Publisher:

ISCA

Host:

Automatic speech recognition for under-resourced languages: A survey

(Impact-F 1.28 estim. in 2012) International audience no abstract

Sub-word Based End-to-End Speech Recognition for an Under-Resourced Language: Amharic

In this work, we focused on end-to-end speech recognition for less-resourced language, Amharic. The result can be integrated with other tasks such as spoken content retrieval. We explored three models, which consist of Convolutional Neural Networks, Recurrent Neura

Automatic Speech Recognition for Amharic Language using Self-Supervised

Automatic Speech Recognition (ASR) systems have become a very natural human-machine interaction in w

Effect of language resources on automatic speech recognition for Amharic

Investigating Data Sharing in Speech Recognition for an Under-Resourced Language: The Case of Algerian Dialect

The Arabic language has many varieties, including its standard form, Modern Standard Arabic (MSA), a

Semantically Corrected Amharic Automatic Speech Recognition

Automatic Speech Recognition (ASR) can play a crucial role in enhancing the accessibility of spoken

Automatic speech recognition for an under-resourced language - amharic

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