Noris Mohd. Norowi

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Machine learning techniques for automated musical genre classification is currently widely studied. With large collections of digital musical files, one approach to classification is to classify by musical genres such as pop, rock and classical in Western music. Beat, pitch and temporal related features are extracted from audio signals and various machine(More)
The number of studies investigating automated genre classification is growing following the increasing amounts of digital audio data available. The underlying techniques to perform automated genre classification in general include feature extraction and classification. In this study, MARSYAS was used to extract audio features and the suite of tools(More)
  • Shana T. Venkatachalam, Jiawei Han, +8 authors Anne F. Maben
  • 2011
Student information systems hold a lot of information that can be mined for useful patterns. This work aims to build a prediction model to predict the result of students in ‘C’ Programming course by analyzing the factors that affect the performance of students. We applied feature selection techniques to select the most relevant academic and non-academic(More)
Systems for the archival of musical documents digitally and development of digital music libraries are currently being researched and developed extensively. However, adapting these systems for the archival and retrieval of Malaysian music materials might not be as straightforward due to the distinct differences in musical structure and modes of non-Western(More)
Advancement in computing has opened up the possibility of mechanizing the process of music creation. Through Concatenative Sound Synthesis, best matched segments between target and source sounds are found and synthesized. Factors that affect the distance of the match, such as the order and weight of the features are examined and presented here. A robust(More)
User control is one of the most important heuristic principles of a system design as it gives users the freedom to choose a system’s functions and as a mean of communicating instructions to the system before performing a specific task. Existing concatenative sound synthesis systems call the need for a more flexible user control function, in particular(More)
Machine learning techniques for automated musical genre classification are currently widely studied. With large collections of digital musical files, one approach to classification is to classify by musical genres such as pop, rock and classical in Western music. Beat, pitch and temporal related features are extracted from audio signals and various machine(More)
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