Continuous Bangla Speech Segmentation using Short-term Speech Features Extraction Approaches
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 11
Abstract
This paper presents simple and novel feature extraction approaches for segmenting continuous Bangla speech sentences into words/sub-words. These methods are based on two simple speech features, namely the time-domain features and the frequency-domain features. The time-domain features, such as short-time signal energy, short-time average zero crossing rate and the frequency-domain features, such as spectral centroid and spectral flux features are extracted in this research work. After the feature sequences are extracted, a simple dynamic thresholding criterion is applied in order to detect the word boundaries and label the entire speech sentence into a sequence of words/sub-words. All the algorithms used in this research are implemented in Matlab and the implemented automatic speech segmentation system achieved segmentation accuracy of 96%.
Authors and Affiliations
Md Mijanur Rahman , Md. Al-Amin Bhuiyan
Keywords
Related Articles
- EP ID EP135420
- DOI 10.14569/IJACSA.2012.031121
- Views 111
- Downloads 0
Immuno-Computing-based Neural Learning for Data Classification
The paper proposes two new algorithms based on the artificial immune system of the human body called Clonal Selection Algorithm (CSA) and the modified version of Clonal Selection Algorithm (MCSA), and used them to train...
Multiobjective Optimization for the Forecasting Models on the Base of the Strictly Binary Trees
The optimization problem dealing with the development of the forecasting models on the base of strictly binary trees has been considered. The aim of paper is the comparative analysis of two optimization variants which ar...
Ethical Issues and Related Considerations Involved with Artificial Intelligence and Autonomous Systems
The applications of artificial intelligence (AI) and automated systems (AS) demonstrate excellent outcomes in various sectors of industrial units to replace the human from jobs. However, the competitive world with evolut...
An Analysis of Security Challenges in Cloud Computing
Vendors offer a pool of shared resources to their users through the cloud network. Nowadays, shifting to cloud is a very optimal decision as it provides pay-as-you-go services to users. Cloud has boomed high in business...
DBpedia based Ontological Concepts Driven Information Extraction from Unstructured Text
In this paper a knowledge base concept driven named entity recognition (NER) approach is presented. The technique is used for information extraction from news articles and linking it with background concepts in knowledge...