Abstract

Problem statement: In order to bring speech into the mainstream of business process an efficient digital signal processor is necessary. The Fast Fourier Transform (FFT) and the butter fly structure symmetry will enable the harwaring easier. With the DSP and software proposed, togetherly established by means of a system, named here as “Speech Abiding System (SAS)”, a software agent, which involves the digital representation of speech signals and the use of digital processors to analyze, synthesize, or modify such signals. The proposed SAS addresses the issues in two parts. Part I: Capturing the Speaker and the Language independent error free Speech Content for speech applications processing and Part II: To accomplish the speech content as an input to the Speech User Applications/Interface (SUI). Approach: Discrete Fourier Transform (DFT) of the speech signal is the essential ingredient to evolve this SAS and Discrete-Time Fourier Transform (DTFT) links the discrete-time domain to the continuous-frequency domain. The direct computation of DFT is prohibitively expensive in terms of the required computer operations. Fortunately, a number of “fast” transforms have been developed that are mathematically equivalent to the DFT, but which require significantly a fewer computer operations for their implementation. Results: From Part-I, the SAS able to capture an error free Speech content to facilitate the speech as a good input in the main stream of business processing. Part-II provides an environment to implement the speech user applications at a primitive level. Conclusion/Recommendations: The SAS agent along with the required hardware architecture, a Finite State Automata (FSA) machine can be created to develop global oriented domain specific speech user applications easily. It will have a major impact on interoperability and disintermediation in the Information Technology Cycle (ITC) for computer program generating.

Highlights

  • Speech and natural language understanding are the key technologies that will have the most impact in the 15 years

  • Despite the significant progress that has been made in the areas of speech recognition and spoken-language processing, building a successful dialogue system still requires large amounts of development time and human expertise

  • Advances in speech processing owe much to advancing computer technology; but, in addition, this progress has been dependent on the mathematical disciplines of digital signal processing

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Summary

A Software Agent for Speech Abiding Systems

Sundaram 1Department of Master of Computer Applications, SNS College of Technology, Sathy Main Road, Coimbatore-641035, Tamil Nadu, India 2Bharathiar University, Coimbatore-641046, Tamil Nadu, India 3Karpagam College of Engineering, Coimbatore-641032, Tamil Nadu, India

INTRODUCTION
MATERIALS AND METHODS
DISCUSSION
RESULTS
Full Text
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