Introduction to Speech Recognition

View Sample PDF

Author(s): Sergio Suárez-Guerra (National Polytechnic Institute, Mexico)and Jose Luis Oropeza-Rodriguez (National Polytechnic Institute, Mexico)
Copyright: 2008
Pages: 21
Source title: Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/978-1-59904-941-0.ch007

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

Purchase

View Introduction to Speech Recognition on the publisher's website for pricing and purchasing information.

Abstract

This chapter presents the state-of-the-art automatic speech recognition (ASR) technology, which is a very successful technology in the computer science field, related to multiple disciplines such as the signal processing and analysis, mathematical statistics, applied artificial intelligence and linguistics, and so forth. The unit of essential information used to characterize the speech signal in the most widely used ASR systems is the phoneme. However, recently several researchers have questioned this representation and demonstrated the limitations of the phonemes, suggesting that ASR with better performance can be developed replacing the phoneme by triphones and syllables as the unit of essential information used to characterize the speech signal. This chapter presents an overview of the most successful techniques used in ASR systems together with some recently proposed ASR systems that intend to improve the characteristics of conventional ASR systems.

The IRMA Community

Research IRM

Introduction to Speech Recognition

Purchase

Abstract

Related Content

IRMA Sponsors