Paper Info
Title
Hybrid query by humming and metadata search system (HQMS)
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.
Year
DOI
Venue
2010
10.1145/1943628.1943637
FIT
Keywords
Field
DocType
audio content retrieval,audio file retrieval,metadata search system,audio file retrieval mechanism,relevant file,qbh system,audio files retrieval,humming comparison,filter qbh,hybrid query,collection count,audio file,hybrid system
Metadata,Content retrieval,Information retrieval,Computer science,Precision and recall,Query by humming,Hum,Pipeline (software),Hybrid system
Conference
Citations 
PageRank 
References 
0
0.34
13
Authors
3
Name
Order
Citations
PageRank
Nauman Ali Khan100.34
Muddaser Ali Khan200.34
Mubashar Mushtaq3708.81