Hierarchical filtering method for content-based music retrieval via acoustic input
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Query by Tapping: A New Paradigm for Content-Based Music Retrieval from Acoustic Input
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Music information retrieval from a singing voice using lyrics and melody information
EURASIP Journal on Applied Signal Processing
QueST: querying music databases by acoustic and textual features
Proceedings of the 15th international conference on Multimedia
Compacting music signatures for efficient music retrieval
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Evaluation of similarity searching methods for music data in P2P networks
International Journal of Business Intelligence and Data Mining
Design and Implementation of a Fixed-Mobile Convergent Music Search Engine (FMC-MUSE)
Wireless Personal Communications: An International Journal
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This demo presents an implementation of a content-based music retrieval system that can take a user's acoustic input (8-second clip of singing or humming) via a microphone and then retrieve the intended song from a database containing 13,000 candidate songs. The system, known as Super MBox, demonstrates the feasibility of real-time music retrieval with a high recognition rate, which can be used for music search engines over the Internet and/or query engines in digital music libraries or karaoke machines.