Improving Amharic Speech Recognition System Using Connectionist Temporal Classification with Attention Model and Phoneme-Based Byte-Pair-Encodings

Out-of-vocabulary (OOV) words are the most challenging problem in automatic speech recognition (ASR), especially for morphologically rich languages. Most end-to-end speech recognition systems are performed at word and character levels of a language. Amharic is a poorly resourced but morphologically...

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Bibliographic Details
Main Authors: Eshete Derb Emiru, Shengwu Xiong, Yaxing Li, Awet Fesseha, Moussa Diallo
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/12/2/62