The problem of change detection of time series with abrupt and smooth changes in the
spectral characteristics is addressed. We first review the main characteristics of the discrete …

Although Kolmogorov-Smirnov (KS) statistic is a widely used method, some weaknesses
exist in investigating abrupt Change Point (CP) problems, eg it is time-consuming and …

Automatic speech recognition (ASR) is an area of research which deals with the recognition
of speech by machine in several conditions. ASR performs well under restricted conditions …

In this paper we discuss the development and implementation of an automated speaker-
independent isolated Malay digit speech recognition system. The system is developed using …

Sentence boundary detection (SBD), also known as sentence segmentation decides where
a sentence begins and ends. Previous method of SBD is either done by linguistic approach …

Change‐Point (CP) detection has attracted considerable attention in the fields of data
mining and statistics; it is very meaningful to discuss how to quickly and efficiently detect …

To fast detect abrupt change from large-scale time series, we propose an improved method
based on the Ternary Search Tree and modified Kolmogorov statistic method (TSTKS, for …

Malay language has a relatively standardized syllable structure. This paper converts
graphemes into syllable symbols. According to some rules, the syllable structure of a word …

Speech segmentation is an important part for speech recognition, synthesizing and coding.
Statistical based approach detects segmentation points via computing spectral distortion of …

In this paper, we introduce the Descend-Delta-Mean technique for feature extraction of
speech signal isolated THAI digit speech. Descend-Delta-Mean (DDM) is a new method of …