Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Towards the digital music library: tune retrieval from acoustic input
Proceedings of the first ACM international conference on Digital libraries
A tool for content based navigation of music
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Musical content-based retrieval: an overview of the Melodiscov approach and system
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
A practical query-by-humming system for a large music database
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Tune Retrieval in the Multimedia Library
Multimedia Tools and Applications
An Introduction to Software Architecture
An Introduction to Software Architecture
Exact indexing of dynamic time warping
Knowledge and Information Systems
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Music information retrieval from a singing voice using lyrics and melody information
EURASIP Journal on Applied Signal Processing
Toward accurate dynamic time warping in linear time and space
Intelligent Data Analysis
Voice search of structured media data
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Music copyright protection system using fuzzy similarity measure for music phoneme segmentation
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
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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.