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Olaszi, Péter; Koutny, Ilona; Kálmán, S. L.

doi:10.1023/a:1013682632553

Cited by 9 publications

(2 citation statements)

References 1 publication

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“…The same level of agents, components and products will have more impact and be the ingredients of key technologies of business processing in the years to come. Even the blind and visually impaired people can also be supported by these technologies [6] . The first commercial implementation of a free speech speaker verification system is implemented in a call center [7] .…”

Section: Discussionmentioning

confidence: 99%

A Software Agent for Speech Abiding Systems

Manoharan¹,

Vivekanandan²,

Sundaram³

2009

Journal of Computer Science

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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

show abstract

Section: Discussionmentioning

confidence: 99%

A Software Agent for Speech Abiding Systems

Manoharan¹,

Vivekanandan²,

Sundaram³

2009

Journal of Computer Science

View full text Add to dashboard Cite

show abstract

“…Even the blind and visually impaired people can also be supported by these technologies [6] . The first commercial implementation of a free speech speaker verification system is implemented in a call center [7] .…”

Section: Discussionmentioning

confidence: 99%

A Software Agent for Speech Abiding Systems

Manoharan¹

2009

J. of Computer Science

View full text Add to dashboard Cite

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.

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Transforming Spontaneous Telegraphic Language to Well-Formed Greek Sentences for Alternative and Augmentative Communication

Karberis¹

2002

Methods and Applications of Artificial Intelligence

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Cited by 9 publications

References 1 publication

A Software Agent for Speech Abiding Systems

A Software Agent for Speech Abiding Systems

A Software Agent for Speech Abiding Systems

Transforming Spontaneous Telegraphic Language to Well-Formed Greek Sentences for Alternative and Augmentative Communication

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