COMBINING THE SPECTRAL FEATURES TO IDENTIFY THE MUSICAL INSTRUMENTS AND RECOGNIZE THE EMOTION FROM MUSIC

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 6

Abstract

Music can influence Human pervasive that can console, motivate, feel the love and hate or even bring us tears. Instrument plays a vital role in Musical Composition. ‘Combining the Spectral Features To Identify the Musical Instruments and Recognize the Emotion from a Music’ aims at providing the most easy and efficient method to identify the emotion of the song which can be used for Music Therapy. Our proposed work includes Identifying the Musical Instruments using Dynamic Time Warping (DTW) Technique [3] which is a time alignment method. Since Spectrogram features are combined with MFCC the Musical Instruments can be effectively identified. Emotion Recognition estimates the mood of the Musical song which becomes an important aspect of Music Information Retrieval. This Musical Information can be determined by extracting the Features of Dynamics, Timbre, Harmony, Rhythm and Articulation. Using these features the Emotional Values are estimated by a Three- Dimensional Emotional Space which involves Valence, Activity and Tension which is analogous to negatively excited, positively excited and calm neutral space. The effect of combining the Spectral Features degrades the performance of the system, which can be resolved by applying Dimensionality Reduction Process. This provides very stable and successful emotional classification.

Authors and Affiliations

Janani. S , Iyswarya. K , Krishna Priya. K. P , Maria Michael Visuwasam. L.

Keywords

Related Articles

Associated Sensor Patterns Mining of Data Stream from WSN Dataset

Data mining is the process to discover probably beneficial definite information from the large transactional databases. Association rule mining is most common technique of data mining. It aims at discovering associations...

Fuzzy Rule Based System to Characterize the Decision Making Process in Share Market

This research work will help the customer for decision making in share market, based on fuzzy rule based system. Past performance data could be used to overcome uncertainty , vagueness and imprecision of share market. Si...

Sports Video Summarization using Priority Curve Algorithm

The noble technique, Video summarization is process to represent the content of video in compact manner. It is basically of two type’s static video summary and dynamic video skimming based. Static video summary it is th...

Identification and Removal of Impulsive noise using Hypergraph Model

Image noise is unwanted information of an image. Noise can occur during image capture, transmission, or processing and it may depend or may not depend on image content.. In order to remove the noise from the noisy image,...

A Novel Search Engine to trace Medical Information Needs using Medical Domain Ontology

Information retrieval in medical domain is now sharing major part of the web search. Now a day’s most of the people especially adults are browsing health care and medical information at their homes using internet. Medica...

Download PDF file
  • EP ID EP140415
  • DOI -
  • Views 135
  • Downloads 0

How To Cite

Janani. S, Iyswarya. K, Krishna Priya. K. P, Maria Michael Visuwasam. L. (2012). COMBINING THE SPECTRAL FEATURES TO IDENTIFY THE MUSICAL INSTRUMENTS AND RECOGNIZE THE EMOTION FROM MUSIC. International Journal on Computer Science and Engineering, 4(6), 1253-1259. https://europub.co.uk/articles/-A-140415