This extended abstract provides overview of the genre classification process in our submission for MIREX 2009. First, the scheme of extraction of features and use of them in the process of Musical Genre Classification is explained. In later part dataset and results obtained are described. Keywords—ISMIR, Genre, GMM, Timbre

In recent years, there has been an increasing amount of literature on genre-based approaches to writing instruction. However, scant attention has been paid to the use of genre-based scaffolding in the realm of academic writing. Hence, in an attempt to tackle the problems prevalent in academic writing, this study set out to investigate the effect of genre-based scaffolding through sentence start...

When William Came by Saki (H. H. Munro) is a unique novel in the genre of invasion literature. Starting after fictional war between Britain and Germany, it depicts no scenes invasion. Recently, there have been studies from perspective how Munro other authors viewed Germany Britain. Some also refer to Munro’s deliberate lack depiction war. However, seems that looked into reasons why not depicted...

this study reports on the findings of a genre teaching course for developing academic writing of a class of efl students in iran. the information report genre was taught in a cyclical way of teaching and learning, which was started from ‘setting the context’ and ‘deconstruction’ of prototype information report genre, and continued with ‘joint construction’, ‘independent construction’, and final...

This study introduces a Genre Purity Assessment Tool (GPAT). GPAT calculates genre purity by using SIF n-graphs (statistically improbable graph strings) to identify genre characteristics in text. The study describes the tool and assesses it across five experiments that feature a variety of text types and text lengths. The results demonstrate that GPAT is at least as effective as a system that u...

Automatic musical genre classification is very useful for music indexing and retrieval. In this paper, an efficient and effective automatic musical genre classification approach is presented. A set of features is extracted and used to characterize music content. A multi-layer classifier based on support vector machines is applied to musical genre classification. Support vector machines are used...

This work addresses the problem of genre classification of text and speech transcripts, with the goal of handling genres not seen in training. Two frameworks employing different statistics on word/POS histograms with a PCA transform are examined: a single model for each genre and a factored representation of genre. The impact of the two frameworks on the classification of training-matched and n...

Domain adaptation is an active field of research in statistical machine translation (SMT), but so far most work has ignored the distinction between the topic and genre of documents. In this paper we quantify and disentangle the impact of genre and topic differences on translation quality by introducing a new data set that has controlled topic and genre distributions. In addition, we perform a d...