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
- EP ID EP140415
- DOI -
- Views 119
- Downloads 0
Comparison between k-nn and svm method for speech emotion recognition
Human - Computer intelligent interaction (HCII) is an emerging field of science aimed at providing natural ways for humans to use computer as aids. Machine intelligence needs to include emotional intelligence it is argue...
A study on the effectiveness of virtual lab in Elearning
The research aims to identify the effectiveness of virtual lab in E-learning suite. The study aims to analyze the increase in learning skills and the understanding level of concepts by implementing virtual lab among scho...
Fingertip Detection for Hand Pose Recognition
In this paper, a novel algorithm is proposed for fingertip detection and finger type recognition. The algorithm is applied for locating fingertips in hand region extracted by Bayesian rule based skin color segmentation....
A Cascaded Incoherent Spectrum Sliced Transversal Photonic Microwave Filters-An Analysis
An analysis of the performance of a simple, incoherent spectrum sliced microwave photonic filter is presented. This filter structure is based on cascading of two incoherent fiber Fabry -Pérot filters as a slicing element...
A Survey on Cloud Computing
Cloud Computing is a very recent term which is mainly based on distributed computing, virtualization, utility computing, networking and web and software services. This kind of service oriented architecture reduces inform...