Content-based music retrieval is desirable in Peer-to-Peer (P2P) networks, considering its popularity for users and its ability of semantic search, intensive computing cost raises a barrier to efficiency and scalability though. In this paper, we propose an approach of music genre retrieval based on peer interest clustering. Automatic music feature extraction and adaptive shared music file clust...

The vast amount of music available electronically presents considerable challenges for information retrieval. There is a need to annotate music items with descriptors in order to facilitate retrieval. In this paper we present a process for determining the music genre of an item using the Discrete Wavelet Transform and a round-robin classification technique. The wavelet transform is used to extr...

This paper describes the participation between the LIDIC research group of the UNSL from Argentina and the Language and Reasoning research group of the UAM Cuajimalpa from Mexico at the PAN’s 2016 Author Profiling task. For the proposed method we adopted a profile-based approach, which has been successfully applied in the Authorship Attribution problem. Thus, we proposed a variation of this tec...

The vast amount of music available electronically presents considerable challenges for information retrieval. There is a need to annotate music items with descriptors in order to facilitate retrieval. In this paper we present a process for determining the music genre of an item using the Discrete Wavelet Transform and a round -robin classification technique. The wavelet transform is used to ext...

Recent research in music genre classification hints at a glass ceiling being reached using timbral audio features. To overcome this, the combination of multiple different feature sets bearing diverse characteristics is needed. We propose a new approach to extend the scope of the features: We transcribe audio data into a symbolic form using a transcription system, extract symbolic descriptors fr...

In this paper we argue that a combination of Actor-Network Theory (ANT) and Genre Theory can constitute a theoretical framework for understanding how digital genres evolve. Genre theory states that genres evolve over time through reciprocal interaction between institutionalized practices and individual action; that they develop from actors’ responses to recurrent situations, and are shaped ar...

We present our approach and result for the MediaEval 2017 AcousticBrainz Content-based music genre recognition task. Experimental results show that the best results come from random forest with partial feature selection.

the present study investigated the effect of single and multiple genre movies on listening comprehension of upper intermediate language learners. to this end, a language proficiency test was administered to 40 male and female postgraduates of different majors attending international english language testing system (ielts) classes and ultimately 25 upper intermediate language learners were selec...

amulet prayers or the so called “ad'iyatul-hirz,” are a genre of islamic liturgical literature, prevailing among all muslims, especially in shiite culture. it is of importance to study these texts, whether in order to formulate the history of islamic liturgies, or to perceive the development of islamic culture and civilization, or to achieve a meaning tool for dating muslim traditions. as ...