Music genre meta-data is of paramount importance for the organization of music repositories. People use genre in a natural way when entering a music store or looking into music collections. Automatic genre classification has become a popular topic in music information retrieval research both with digital audio and symbolic data. This work focuses on the symbolic approach, bringing to music cogn...

The paper provides an in depth examination of the narrative structure of Massively Multiplayer Online Computer Role-Playing Games (MMORPGs). The analysis is focused on the narrative complexities created by the relationships between computer technology, the medieval fantasy that is central to the genre, and the emergent nature of the online player society. The paper is divided into four major se...

This paper proposes a system that automatically locates and extracts songs from digitized movies and classifies the extracted songs according to their genre using a video-based genre identification algorithm. A song grammar particularly applicable to Bollywood movies has been proposed and used subsequently to construct a probabilistic timed automaton that differentiates songs from rest of the s...

This paper presents the jWebMiner 2.0 cultural feature extraction software and describes the results of several musical genre classification experiments performed with it. jWebMiner 2.0 is an easy-to-use and open-source tool that allows users to mine the Internet in order to extract features based on both Last.fm social tags and general web search string co-occurrences extracted using the Yahoo...

To build a robust pitch accent prediction system, we need to understand the effects of speech genre and speaker variation. This paper reports our studies on genre and speaker variation in pitch accent placement and their effects on automatic pitch accent prediction. We find some interesting accentuation pattern differences that can be attributed to speech genre, and a set of textual features th...

Content management is focused on managing a variety of content such as Web sites, documents, and content integrated from multiple sources. Genres communicative types with similar substance and form can be thought of as prototypical, user-defined models of the content used in recurrent work tasks. This paper discusses a study in which the theory and research findings related to genres were opera...

Genre identification is a critical facet of text comprehension, but very little is known about the process and information constraints of classifying texts by genres. In this study, higherskill and lower-skill participants read 210 sentences from three genres. The words in the sentences were presented sequentially, one at a time. With each new word, participants decided whether the sentences ca...

We consider methods for training a prosodic classifier using labeled training data from a different genre than the one on which the system will be deployed. Two binary tasks are considered: word-level pitch accent and phrase boundary detection. Using radio news and conversational telephone speech, we consider cross-genre training using acoustic and textual features, and find that acoustic featu...

We adapt the hierarchical attention network for the task of genre classification using lyrics. Utilising a large dataset of intact song lyrics we apply a recurrent neural network model which tries to learn importance of words, lines and sections in the genre classification task. This hierarchical structure attempts to replicate the structure of lyrics and enable learning of which sections, line...