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Text independent human voice ranking system for audio search engines using wavelet features


Article Information

Title: Text independent human voice ranking system for audio search engines using wavelet features

Authors: A. Jose Albin, N. M. Nandhitha

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 4

Language: English

Categories

Abstract

Performance of conventional text based audio search engines can be improved with feature based search engines. In this paper, text independent audio ranking system for audio engines with audio signal as query is proposed. Discrete Wavelet Transform (DWT) is used for feature extraction. Ranking is obtained using three different distance metrics namely Euclidean distance, Manhattan distance and Maximum distance. An efficient ranking system is identified based on the performance of the proposed technique in terms of accuracy of detection.


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