Endpoint detection enhancement for speaker dependent recognition.

Mohamad Hussin, Ummu Salmah and Shamsuddin, Siti Maryam and Mahmud, Ramlan (2009) Endpoint detection enhancement for speaker dependent recognition. Jurnal Teknologi Maklumat dan Multimedia, 7 . pp. 17-29. ISSN 1823-0113

Full text not available from this repository.

Abstract

The automatic speech recognition (ASR) field has become one of the leading speech technology areas today. Various methods have been introduced to develop an efficient ASR system. The Neural Network (NN) approach is one of the more popular methods that is widely used in this field. Another Multilayer perceptron (MLP) model which is popularly used in the ASR field is the NN model. However, the current problems faced by MLP and most NN models in the ASR field is the long duration of training. Furthermore, the robustness of the isolated digit recognition is not trivial because it has been widely used in many applications. This study focuses on improving the training time and robustness of the MLP neural network for the Malay isolated digit recognition system by proposing variance endpoint detection to accelerate the convergence time of the NN and to produce the highest recognition accuracy. The proposed endpoint method have shown very promising results over experiments carried out. The overall performance for the Malay data set is 99.83% with a convergence time of 82 seconds.

Item Type:Article
Keyword:Automatic speech recognition; Multilayer perceptron; EndPoint detection; Artificial neural network
Subject:Automatic speech recognition.
Subject:Computer Science.
Faculty or Institute:Faculty of Computer Science and Information Technology
ID Code:14497
Deposited By: Umikalthom Abdullah
Deposited On:11 May 2012 02:28
Last Modified:11 May 2012 02:28

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 11 May 2012 02:28.

View statistics for "Endpoint detection enhancement for speaker dependent recognition."


Universiti Putra Malaysia Institutional Repository

Universiti Putra Malaysia Institutional Repository is an on-line digital archive that serves as a central collection and storage of scientific information and research at the Universiti Putra Malaysia.

Currently, the collections deposited in the IR consists of Master and PhD theses, Master and PhD Project Report, Journal Articles, Journal Bulletins, Conference Papers, UPM News, Newspaper Cuttings, Patents and Inaugural Lectures.

As the policy of the university does not permit users to view thesis in full text, access is only given to the first 24 pages only.