We propose new audio features that can be extracted from bass lines. Most previous studies on content-based music information retrieval (MIR) used low-level features such as the mel-frequency cepstral coefficients and spectral centroid. Musical similarity based on these features works well to some extent but has a limit to capture fine musical characteristics. Because bass lines play important ...

One of the biggest challenges facing current methods for classifying music by genre or artist is that features of the sound are computed on very small temporal scales (20 to 50 milliseconds), while the labels need to be assigned at relatively large temporal scales (3 to 5 minutes). We address this challenge by partitioning songs into smaller pieces and classifying each one separately. Our choic...

This paper addresses the lack of solid historical information concerning early computer game sales and preferences. Two consistent data series from the magazines Softalk and Computer Gaming World (CGW) are analyzed to give an overview of the best selling and best rated games by players for the period of 1980-1984. A “genre palette” is inferred from the sources, giving a snapshot of how contempo...

Our project aims at understanding text genres within the domain of the news. Advances in computational methods and availability of digital corpora has ushered in a new age of empirically testing intuitions about genres and styles, in particular the automatic classification of a document to its genre. At the same time, identifying systematic patterns of difference between genres, both quantitati...

In the past few years, automatic genre classification has become one of the most interesting topics in the Music Information Retrieval (MIR) field. Musical genre is one of the most valuable metadata when managing huge music databases and many successful efforts have been done to automatically compute it. Basically, timbric and rhythmic description of audio is used for this purpose. From our poi...

Web pages are discriminated based on their topic and genre. Web page genres are capable to improve the modern search engines to focus on the user's information need. In this paper, web pages are represented using character n-grams. Character n-gram representation is language independent and allows automatic extraction of features from a web page. Character n-gram representation of a web pa...

With the increase of the number of web pages, it is very difficult to find wanted information easily and quickly out of thousands of web pages retrieved by a search engine. To solve this problem, many researches propose to classify documents according to their genre, which is another criteria to classify documents different from the topic. Most of these works assign a document to only one genre...

Spectro-temporal modulations (STMs) of the sound convey timbre and rhythm information so that they are intuitively useful for automatic music genre classification. The STMs are usually extracted from a time-frequency representation of the acoustic signal. In this paper, we investigate the efficacy of two kinds of STM features, the Gabor features and the rate-scale (RS) features, selectively ext...

Research in domain adaptation for statistical machine translation (SMT) has resulted in various approaches that adapt system components to specific translation tasks. The concept of a domain, however, is not precisely defined, and most approaches rely on provenance information or manual subcorpus labels, while genre differences have not been addressed explicitly. Motivated by the large translat...

This article explores the portability of a coreference resolver across a variety of eight text genres. Besides newspaper text, we also include administrative texts, autocues, texts used for external communication, instructive texts, wikipedia texts, medical texts and unedited new media texts. Three sets of experiments were conducted. First, we investigated each text genre individually, and stud...