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

Veerappa N B, Veerappa N B, Sudarshana Reddy H R

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.

Keywords


MFCC; Gaussian Posteriorgrams; Dynamic time warping; Audio information retrieval

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References


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DOI: https://doi.org/10.26483/ijarcs.v9i1.5305

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