Towards the digital music library: tune retrieval from acoustic input
Proceedings of the first ACM international conference on Digital libraries
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
Melodic matching techniques for large music databases
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Modern Information Retrieval
Music ranking techniques evaluated
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Query by Rhythm: An Approach for Song Retrieval in Music Databases
RIDE '98 Proceedings of the Workshop on Research Issues in Database Engineering
Methodologies for Evaluation of Note-Based Music-Retrieval Systems
INFORMS Journal on Computing
Effective retrieval of polyphonic audio with polyphonic symbolic queries
Proceedings of the international workshop on Workshop on multimedia information retrieval
An intelligent music playlist generator based on the time parameter with artificial neural networks
Expert Systems with Applications: An International Journal
Searching Polyphonic Indonesian Folksongs Based on N-gram Indexing Technique
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Intelligent Music Playlist Recommendation Based on User Daily Behavior and Music Content
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Optimizations of local edition for evaluating similarity between monophonic musical sequences
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
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Content-based music information retrieval uses features extracted from music to answer queries. For melodic queries, the two main features are the pitch and duration of notes. The note pitch feature has been well researched whereas duration has not been fully explored. In this paper, we discuss how the note duration feature can be used to alter music retrieval effectiveness. Notes are represented by strings called standardisations. A standardisation is designed for approximate string matching and may not capture melodic information precisely. To represent pitches, we use a string of pitch differences. Our duration standardisation uses a string of five symbols representing the relative durations of adjacent notes. For both features, the Smith-Waterman alignment is used for matching. We demonstrate combining the similarity in both features using a vector model. Results of our experiments in retrieval effectiveness show that note duration similarity by itself is not useful for effective music retrieval. Combining pitch and duration similarity using the vector model does not improve retrieval effectiveness over the use of pitch on its own.