Pattern Based Melody Matching Approach to Music Information Retrieval
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2016, Vol 4, Issue 6
Abstract
Digitization of music and advancements in information technology for sharing information on World Wide Web paved way for its availability in enormous quantities anywhere any time. Rather than retrieving annotated music in response to query given in terms of Metadata such as name of the composer/singer, genre etc modern researchers are challenged towards content based music information retrieval systems (CBMIR). CBMIR systems differ while representing the main melody either as a note sequence or as an analog acoustic signal; the note sequence representation is explored in this research work. Based on the observation that repeating patterns of the note sequences representing the main melody capture the essence of the music object, this research work developed a framework to investigate the feasibility and effectiveness of pattern based melody matching approach to music information retrieval. Experimentation is conducted on a real world dataset of musical objects belonging to South Indian classical music and the performance of the framework is estimated in terms of Mean Reciprocal Ranking.
Authors and Affiliations
D. Vikram, M. Shashi
Keywords
Related Articles
- EP ID EP277135
- DOI 10.14738/tmlai.46.2558
- Views 50
- Downloads 0
Psychological and Physiological Profiles in Oncology Caregivers: a Multivariable Cross-Sectional Study
Scientific research has led to enhanced medical assistance, and hence higher disease control and a continuous lifespan dilation. However, research mainly focusses on the patient’s condition, and, in some cases, caregiver...
Hybridized Model for Early Detection and Smart Monitoring of Forest Fire
The demand for wireless sensor network technology has been increasingly needed in recent years for several major applications, including environmental monitoring, where nodes deployed in nature detect, process and transf...
Cognitive Assessment Concern and Learning Outcomes of Selected Under-Graduate Students at MLRIT-Hyderabad
This study investigated the level of Cognitive Assessment Concern of selected undergraduate students. It also sought to find out whether CAC of students vary by ability (performance) levels and sex. A total of 246 purpos...
A Real Time Embedded System Architecture for Autonomous Underwater Sensors Localization
Underwater Acoustic Sensor Networks (UWASNs) consist of a variable number of autonomous sensors or vehicles that are deployed over a given area to perform smart sensing and collaborative monitoring tasks. In UWASNs, sens...
Contextual Arabic Handwriting Recognition System Using Embedded Training Based Hybrid HMM/MLP Models
Recognizing unconstrained cursive Arabic handwritten text is a very challenging task the use of hybrid classification to take advantage of the strong modeling of Hidden Markov Models (HMM) and the large capacity of discr...