scholarly journals An Empirical Prediction Methodology for the Emotional Behaviors with the Impact of Musical Features

2020 ◽  
Vol 9 (6) ◽  
pp. 646-649
Keyword(s):  
Feature Extraction ◽  
Information Retrieval ◽  
Real Situation ◽  
Linguistic Information ◽  
Empirical Prediction ◽  
Current State ◽  
Pragmatic Analysis ◽  
State Of Mind ◽  
Music Information ◽  
The Impact

Music is the combination of melody, linguistic information and singer’s mental realm. As popularity of music increases, the choice of songs also varies according to their mental conditions. The mental conditions reach the supreme bliss to melancholy strain based on the musical notes. Majority mostly prefer songs, which satisfy their current state of mind. Pragmatic analysis in music by computer is a difficult task, as emotion is very complex and it camouflages the real situation. Hence, In this paper , trying to classify the songs based on the features of music which helps to classify the emotion more easily. Music feature extraction is done using Music Information Retrieval (MIR) toolbox. The dataset consists of 100 of Hindi songs of 30 seconds clip and later classify the emotion based on Naïve Bayes classification method using Weka API.

MARSYAS-0.2

2011 ◽  
pp. 31-49 ◽  
Author(s):  
George Tzanetakis
Keyword(s):  
Feature Extraction ◽  
Information Retrieval ◽  
Music Information Retrieval ◽  
Information Retrieval System ◽  
Audio Processing ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Music Information ◽  
Processing Framework ◽  
Design Challenges

Marsyas, is an open source audio processing framework with specific emphasis on building Music Information Retrieval systems. It has been been under development since 1998 and has been used for a variety of projects in both academia and industry. In this chapter, the software architecture of Marsyas will be described. The goal is to highlight design challenges and solutions that are relevant to any MIR software. Keywords: Information Processing, Music, Information Retrieval, System Design, Evaluation, Fast Fourier Transfer (FFT), Feature Extraction, MFCC

The Use of Arabic WordNet in Arabic Information Retrieval

2014 ◽  
Vol 4 (3) ◽  
pp. 54-65 ◽  
Author(s):  
Ahmed Abbache ◽  
Fatiha Barigou ◽  
Fatma Zohra Belkredim ◽  
Ghalem Belalem
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Appropriate Use ◽  
Average Precision ◽  
Linguistic Information ◽  
Interactive Query ◽  
Part Of Speech ◽  
Arabic Information Retrieval ◽  
Princeton Wordnet ◽  
The Impact

Research and experimentation using Arabic WordNet in the field of information retrieval are relatively new. It is limited compared to the research that has been done using Princeton WordNet. This work attempts to study the impact of Arabic WordNet on the performance of Arabic information retrieval. We extend Lucene with Arabic WordNet to expand user's queries. The major contribution of this study is to propose an interactive query expansion (IQE) methodology using the word's part-of-speech, according to the part it plays in a query. First, the user selects the appropriate part of speech for each term in the original query, and then he reselects the appropriate synonyms. Experimental results show that our IQE strategy produces a good Mean Average Precision (MAP), it is able to improve MAP by 12.6%, but no variant of automatic query expansion (AQE) strategies did. Nevertheless, the experiments allow us to conclude that with an appropriate use of Arabic WordNet as a source of linguistic information for AQE can improve effectiveness for Arabic information retrieval.

Tools for Music Information Retrieval and Playing

2011 ◽  
pp. 120-145
Author(s):  
Antonello D’Aguanno
Keyword(s):  
Feature Extraction ◽  
Information Retrieval ◽  
Performance Analysis ◽  
State Of The Art ◽  
Automatic Recognition ◽  
Musical Instruments ◽  
Pitch Tracking ◽  
Ieee Standard ◽  
Points Of View ◽  
Music Information

State-of-the-art MIR issues are presented and discussed both from the symbolic and audio points of view. As for the symbolic aspects, different approaches are presented in order to provide an overview of the different available solutions for particular MIR tasks. This section ends with an overview of MX, the IEEE standard XML language specifically designed to support interchange between musical notation, performance, analysis, and retrieval applications. As for the audio level, first we focus on blind tasks like beat and tempo tracking, pitch tracking and automatic recognition of musical instruments. Then we present algorithms that work both on compressed and uncompressed data. We analyze the relationships between MIR and feature extraction presenting examples of possible applications. Finally we focus on automatic music synchronization and we introduce a new audio player that supports the MX logic layer and allows to play both score and audio coherently.

The Use of Arabic WordNet in Arabic Information Retrieval

2016 ◽  
pp. 773-783 ◽  
Author(s):  
Ahmed Abbache ◽  
Fatiha Barigou ◽  
Fatma Zohra Belkredim ◽  
Ghalem Belalem
Keyword(s):  
Information Retrieval ◽  
Query Expansion ◽  
Mean Average Precision ◽  
Appropriate Use ◽  
Linguistic Information ◽  
Interactive Query ◽  
Part Of Speech ◽  
Arabic Information Retrieval ◽  
Princeton Wordnet ◽  
The Impact

Research and experimentation using Arabic WordNet in the field of information retrieval are relatively new. It is limited compared to the research that has been done using Princeton WordNet. This work attempts to study the impact of Arabic WordNet on the performance of Arabic information retrieval. We extend Lucene with Arabic WordNet to expand user's queries. The major contribution of this study is to propose an interactive query expansion (IQE) methodology using the word's part-of-speech, according to the part it plays in a query. First, the user selects the appropriate part of speech for each term in the original query, and then he reselects the appropriate synonyms. Experimental results show that our IQE strategy produces a good Mean Average Precision (MAP), it is able to improve MAP by 12.6%, but no variant of automatic query expansion (AQE) strategies did. Nevertheless, the experiments allow us to conclude that with an appropriate use of Arabic WordNet as a source of linguistic information for AQE can improve effectiveness for Arabic information retrieval.

The Development of Agritourism in the Podkarpackie Voivodeship in the Light of International and National Conditions

2017 ◽  
Vol 13 ◽  
pp. 244-261
Author(s):  
Mariola Tracz ◽  
Małgorzata Bajgier-Kowalska ◽  
Radosław Uliszak
Keyword(s):  
Development Strategy ◽  
Current State ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Tourism Resources ◽  
The One ◽  
The Impact ◽  
District Offices ◽  
Socio Economic Factors

Podkarpackie Voivodeship is one of the regions of Poland in which the number of agritourism entities is very high. Therefore tourism plays a significant role in its development strategy. The aim of the paper is to identify the current state of agritourism and the changes that have occurred in the region in the years 2000–2016. Specific objectives are to determine the distribution of agritourism farms and their offer, together with a comprehensive analysis of the environmental and socio-economic factors, as well as the impact of the Slovak-Ukrainian border. The report was developed on the statistical materials from the Polish Central Statistical Office, Podkarpackie Agricultural Advisory Centre in Boguchwała and data collected from municipalities and district offices that is published on their websites, as well as through interviews with 100 owners of agritourism farms in the Podkarpackie Voivodeship. The research has shown, on the one hand, the decline in the number of farms in the region and, on the other hand, the increase in the diversity of the tourist offer of these entities. Distribution of agritourism farms is closely linked to the attractiveness of natural environment and quality of secondary tourism resources. Traditional agritourism has not yet fully used its countryside, as well as cross-border advantages of its location.

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