Raga classification based on pitch co-occurrence based features
نویسندگان
چکیده
<p><span>Analysis and classification of raga is the need time especially in music industry. With presence abundance multimedia data on internet, it imperative to develop appropriate tools classify ragas. In this work, an attempt has been made use occurrence pattern pitch based svara (note) for classification. Sequence notes important cue Pitch profile formed. This presents signal along with its statistical distribution can be characterized using co-occurrence matrix. Proposed note matrix summarizes aspect. captures both tonal temporal aspects melody. Ragas differ terms spectral power. K-nearest neighbor (KNN) used as classifier. Publicly available database consisting 300 recordings 30 Hindustani ragas 130 hours audio stored 160 kbps mp3 fileswhich part CompMusic project used. Leave one out validation strategy evaluate performance. Experimental result indicates effectiveness proposed scheme which giving accuracy 93.7%.</span></p>
منابع مشابه
Classification of Iranian Traditional Music Dastgahs Using Features Based on Pitch Frequency
The Iranian traditional music is composed of seven majors Dastgahs: Chahargah, Homayoun, Mahour, Segah, Shour, Nava, and Rast-Panjgah. In this paper, a new algorithm for the classification of the Iranian traditional music Dastgahs based on pitch frequency is proposed. In this algorithm, the features of Lagrange coefficients of pitch logarithm (LCPL), Fuzzy similarity sets type 2 (FSST2), and th...
متن کاملHigher-order Co-occurrence Features based on Discriminative Co-clusters for Image Classification
Co-occurrence based image features have attracted keen attentions due to the promising performances for image classification tasks [1, 2, 3, 6, 7]. For extracting the co-occurrences, it is common to transform the quantitative data into qualitative data (symbols) by means of quantization (clustering) at first; e.g., continuous gradient orientation is coded into orientation bins [3], RGB colors a...
متن کاملTexture Classification based on Fuzzy Based Texton Co- occurrence Matrix
The Applications of Pattern recognition like wood classification, stone and rock classification problems, the major usage techniques ate different texture classification techniques. Generally most of the problems used statistical approach for texture analysis and texture classification. Gray Level Co-occurrence Matrices (GLCM) approach is particularly applied in texture analysis and texture cla...
متن کاملTEXTURE CLASSIFICATION BASED ON OVERLAPPED TEXTON CO-OCCURRENCE MATRIX (OTCoM) FEATURES
Abstract: The pattern identification problems such as stone, rock categorization and wood recognition are used texture classification technique due to its valuable usage in it. Generally, texture analysis can be done one of the two ways i.e. statistical and structural approaches. More problems are occurred when working with statistical approaches in texture analysis for texture categorization. ...
متن کاملClassification of encrypted traffic for applications based on statistical features
Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2021
ISSN: ['2502-4752', '2502-4760']
DOI: https://doi.org/10.11591/ijeecs.v24.i1.pp157-166