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View article: N-Gram and RNN-LM Language Model Integration for End-to-End Amazigh Speech Recognition
N-Gram and RNN-LM Language Model Integration for End-to-End Amazigh Speech Recognition Open
This work investigates how different language modeling techniques affect the performance of an end-to-end automatic speech recognition (ASR) system for the Amazigh language. A (CNN-BiLSTM-CTC) model enhanced with an attention mechanism was…
View article: Comparative Analysis of LSTM, ARIMA, and Hybrid models for Forecasting Future GDP
Comparative Analysis of LSTM, ARIMA, and Hybrid models for Forecasting Future GDP Open
Gross domestic product (GDP) is an effective indicator of economic development, and GDP forecasts provide a better understanding of future economic trends.This article investigates three methods of forecasting GDP: LSTM, ARIMA and a hybrid…
View article: The convolutional neural networks for Amazigh speech recognition system
The convolutional neural networks for Amazigh speech recognition system Open
In this paper, we present an approach based on convolutional neural networks to build an automatic speech recognition system for the Amazigh language. This system is built with TensorFlow and uses mel frequency cepstral coefficient (MFCC) …
View article: Estimation of the Optimal HMM Parameters for Amazigh Speech Recognition System Using CMU-Sphinx
Estimation of the Optimal HMM Parameters for Amazigh Speech Recognition System Using CMU-Sphinx Open
In this paper, we are looking for the optimal value of number of Hidden Markov Models (HMMs) states, and number of Gaussian mixture density functions for Amazigh automated speech recognition system. This system is based on the open source …