International Journal of Swarm Intelligence and Evolutionary Computation

Department of Artificial Intelligence and Data Science, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, Ethiopia

Publications

• Research Article   
  Large Scale Speech Recognition for Low Resource Language Amharic, an End-to-End Approach
  Author(s): Yohannes Ayana Ejigu* and Tesfa Tegegne Asfaw
  
  Speech recognition, or Automatic Speech Recognition (ASR), is a technology designed to convert spoken language into text using software. However, conventional ASR methods involve several distinct components, including language, acoustic, and pronunciation models with dictionaries. This modular approach can be time-consuming and may influence performance. In this study, we propose a method that streamlines the speech recognition process by incorporating a unified Recurrent Neural Network (RNN) architecture. Our architecture integrates a Convolutional Neural Network (CNN) with an RNN and employs a Connectionist Temporal Classification (CTC) loss function. Key experiments were carried out using a dataset comprising 576,656 valid sentences, using erosion techniques. Evaluation of the model performance, measured by the Word Error Rate (WER) metric, demonstrated re.. View more»
  

  DOI: 10.35248/2090-4908.24.13.357

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