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Content-Based Indexing and Retrieval of Audio Data using Wavelets

8 years 11 months ago
Content-Based Indexing and Retrieval of Audio Data using Wavelets
This paper proposes a content-based audio information retrieval and indexing technique based on wavelet transform. The presented approach uses multiresolution decomposition property of the discrete wavelet transform to analyze audio data. The wavelet decomposition of an audio signal highly resembles to its decomposition in sound octaves. A hierarchical indexing scheme is constructed using statistical properties of the wavelet coefficients such as zero-crossing rate, mean, and standard deviation at multiple scales. The performance of the proposed systems is experimentally evaluated using 418 different audio clips. The prototype system yields very high recall ratios (higher than 70%) for sample queries with diverse audio characteristics.
Guohui Li, Ashfaq A. Khokhar
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICMCS
Authors Guohui Li, Ashfaq A. Khokhar
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