6 Art�culos

A Preliminary Study of Robust Speech Feature Extraction Based on Maximizing the Probability of States in Deep Acoustic Models

Acceso

en l�nea

Li-Chia Chang and Jeih-Weih Hung

This study proposes a novel robust speech feature extraction technique to improve speech recognition performance in noisy environments. This novel method exploits the information provided by the original acoustic model in the automatic speech recognition... ver m�s

Revista: Applied System Innovation Formato: Electr�nico

Tabla de contenido: Vol: 5 Num: 0 Par: 4 A�o: 2022

Employing Robust Principal Component Analysis for Noise-Robust Speech Feature Extraction in Automatic Speech Recognition with the Structure of a Deep Neural Network

Acceso

en l�nea

Jeih-weih Hung, Jung-Shan Lin and Po-Jen Wu

In recent decades, researchers have been focused on developing noise-robust methods in order to compensate for noise effects in automatic speech recognition (ASR) systems and enhance their performance. In this paper, we propose a feature-based noise-robu... ver m�s

Revista: Applied System Innovation Formato: Electr�nico

Tabla de contenido: Vol: 1 Num: 0 Par: 3 A�o: 2018

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