Automatic Segmentation of Punjabi Speech Signal using Group Delay

Anupriya Sharma

Automatic Segmentation of Punjabi Speech Signal using Group Delay

Anu Priya Sharma * §

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Amanpreet Kaur ‡

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§ RIMT, Gobindgrah.

‡ Punjab Technical University

Automatic Segmentation of Punjabi Speech Signal using Group Delay

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Abstract

This paper describes the concept of automatic segmentation of continuous speech signal. The language used for segmentation is the most widely spoken language i.e. Punjabi. Like all other Indian languages, Punjabi is a syllabic language, thus syllables are selected as the basic unit of segmentation. The traditional way of representing the speech signal is in terms of features derived from short-time Fourier analysis. It is difficult to compute the phase and processing the phase function from the FT phase. By processing the derivative of the FT phase, the information in the short-time FT phase function can be extracted. This paper describes the process of automatic segmentation of speech using group delay technique. This includes segmentation of continuous Punjabi speech into syllable like units by using the high resolution properties of group delay. This group delay function is found to be a better representative of the STE function for syllable boundary detection.

References

15 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Anupriya Sharma, Amanpreet Kaur. 2013. "Automatic Segmentation of Punjabi Speech Signal using Group Delay". Global Journal of Computer Science and Technology GJCST-C Volume 13 (GJCST Volume 13 Issue C12).

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GJCST Volume 13 Issue C12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

asr automatic speech segmentation digital signal processing punjabi speech segmentation speech signal ste syllables units of speech

Classification

GJCST-C Classification H.5.5

Submission ReceivedDecember 16, 2012
Peer Review Double Blind
Handling Editor
Accepted January 2, 2013
Published December 28, 2013

Version of record

v1.2

Issue date

December 28, 2013

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Anupriya Sharma, Amanpreet Kaur (PhD/Dr. count: 0)

View Count (all-time): 518

Total Views (Real + Logic): 2140

Total Downloads (simulated): 145

Publish Date: 2013 01, Tue

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Total Views: 2.1K

Total Downloads: 145

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