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A review of Yorùbá automatic speech recognition

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IEEE 3rd International Conference on System Engineering and Technology, 2013, pages 242-247

A review of Yorùbá automatic speech recognition

Abstract

Automatic Speech Recognition (ASR) has recorded appreciable progress both in technology and application. Despite this progress, there still exist wide performance gap between human speech recognition (HSR) and ASR which has inhibited its full adoption in r variability as factor contributing to performance gap between HSR and ASR with a view of x-raying the advances rec resources needed for the development of functional ASR system much less taking advantage of its potentials benefits. Results reveal that attaining an ultimate goal of ASR performance comparable to human level requires deep understanding of variability factors.

Keywords — Automatic speech recognition, robust ASR, variability in ASR; Yorùbá speech processing

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