Categorization of ICMR Using Feature Extraction Strategy and MIR with Ensemble Learning

Abstract

The Indian classical music and the raga's studied in this research paper. This paper focuses on categorization of these ragas into various different categories based on their features extracted. The tools like PRAAT, MIRchromagram and WEKA have been used for the simulation. The results proved the efficiency increased to 89%.This paper includes the ensemble approach that is used to categorize the Indian classical raga's based on their different characteristics. This paper also shows the comparison of different models as well so as to measure the percent changes in their performance.

Recent Advances in Selection Techniques for Image Processing

“…For example, used in EM a widely used Feature Extraction Algorithm Cyclic Spectrum Rotational spectral classification rotation Allows for symmetrical diversity to be detected more accurately than using pixels directly. This set also includes from a collection of single-particle images a set of programs for calculating the rotational spectrum [11]. Although the addition of additional components is an alternative, the problem is with the nature of the PCA change.…”

Speech Audio Cardinal Emotion Sentiment Detection and Prediction Using Deep Learning Approach

“…Kurpukdee et al in their research work compared the performance between support vector machines (SVM) and binary support vector machines (BSVM) approaches in emotion recognition [8]. Abburi Gaussian mixture models (GMM) and support vector machine (SVM) classifiers for the prediction of emotions with addition of extracting features from specific regions [9,10].…”

“…Zhao et al in their constructed a 1D CNN-LSTM network and a 2D CNN-LSTM network with global sentiment-related attributes from speech and log-mel spectrogram, respectively [10,13]. A combination of useful techniques have been manoeuvred in this research work after scrupulously going through these relevant work.…”

Raag detection in music using supervised machine learning approach

“…Mood based Bollywood music classification is suggested in [20]. In [22][23][24] a segmentation of phrases through identification of nyas and computes similarity with the reference characteristic phrase has been proposed. Table 1 shows the limitations in the existing techniques.…”