NDLI: Hybrid query by humming and metadata search system (HQMS)

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Hybrid query by humming and metadata search system (HQMS)

Content Provider	ACM Digital Library
Author	Khan, Nauman Ali Khan, Muddaser Ali Mushtaq, Mubashar
Abstract	Query by humming (QbH) is a technique that is used for audio content retrieval. Many QbH systems are based on a feature of humming comparison to audio files, which can be further improved by accompanying other approaches along with humming. In our study, we propose a Hybrid approach of QbH and Metadata search system as audio files retrieval. The proposed framework is based on the Pipe and Filter architecture that provides a serial structure with two filters in order to efficiently retrieve relevant files. Content Based searching works more swiftly when applied on a small collection of files and by using this quality our framework first filter files by audio file retrieval mechanism which will decrease the collection count to the most relevant files that would be further sieved by a second filter QbH. We find our research to be beneficial to the community, as it works on defining a new idea for audio file retrieval, made hybrid in order to achieve high precision and recall efficiently.
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450303422
DOI	10.1145/1943628.1943637
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-12-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Metadata search Qbh Query by humming Pipe and filter Hybrid system
Content Type	Text
Resource Type	Article

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