SEARCHING OF SPEECH QUERIES IN AN AUDIO DATABASE USING MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND GAUSSIAN POSTERIORGRAMS BASED FEATURES

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Published: Mar 5, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i1.5305
Keywords:
MFCC, Gaussian Posteriorgrams, Dynamic time warping, Audio information retrieval

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Veerappa N B
Department of Studies in CSE UBDT College of Engineering Davangare – 577004, Karnataka, India
Veerappa N B
Department of Studies in CSE UBDT College of Engineering Davangare – 577004, Karnataka, India
Sudarshana Reddy H R
Sudarshana Reddy H. R. Department of Studies in E&E Engineering UBDT College of Engineering Davangare – 577004, Karnataka, India

Abstract

In this paper, we propose to use Mel-frequency cepstral coefficients (MFCC) and Gaussian Posteriorgrams (GPG) features to develop an Audio information retrieval (AIR) system. Using this AIR system we search speech queries in an audio database. In our proposed approach, we develop three independent systems based upon MFCC and GPG features to obtain the time stamp evidence for the location of speech queries in the reference utterances. Further, the Majority voting logic is used to arrive at a conclusion to locate (time stamp) the query word in the reference utterances. We use TIMIT database to conduct our proposed studies.

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Vol. 9 No. 1 (2018): January-February 2018
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Author Biographies

Veerappa N B, Department of Studies in CSE UBDT College of Engineering Davangare – 577004, Karnataka, India

B. N. Veerappa Associate Professor Department of Studies in CSE UBDT College of Engineering Davangare – 577004, Karnataka, India

Veerappa N B, Department of Studies in CSE UBDT College of Engineering Davangare – 577004, Karnataka, India

B. N. Veerappa Associate Professor Department of Studies in CSE UBDT College of Engineering Davangare – 577004, Karnataka, India

Sudarshana Reddy H R, Sudarshana Reddy H. R. Department of Studies in E&E Engineering UBDT College of Engineering Davangare – 577004, Karnataka, India

Professor Department of Studies in E&E Engineering

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