A lot of research has been done in the past decade in the field of audio content analysis for extracting various information from audio signal. One such significant information is the ”perceived mood” or the ”emotions” related to a music or audio clip. This information is extremely useful in applications like creating or adapting the play-list based on the mood of the listener. This information...

We investigate the uses and limitations of MFCC analysis for feature extraction from music files in the domain of genre recognition. Intra-genre and Inter-genre classification is explored. We implement a method of genre classification based on MFCC extraction, K-means clustering, and KNN analysis. We demonstrate the efficacy of our method through testing, yielding a 99% accuracy rate.

Genre is a category of artistic, musical, or literary composition characterized by a particular style, form, or content (according to Merriam-Webster Online Dictionary [2] – among two other, less relevant definitions). It can be debated whether a genre can be defined by style (and form) alone, or must content (topic) also be taken into account. For example, can science fiction be distinguished ...

The aim of this paper is to report the distribution of Spanish zero pronouns in three different genres: legal, encyclopaedic and instructional. The Z-corpora were created for this purpose and a sample of 1043 zero pronouns was annotated. The most salient patterns of distribution are compared for each genre, and some relevant issues concerning the use of zero pronouns are described in relation t...

This paper explores how electronic health record (EHR) systems have introduced a new genre for physicians to use (a genre we refer to as check-list) that is used in addition to their traditional narrative genre as part of a single patient health record. Our analysis suggests that it is because the overlap between these two genres is created and used interdependently that breakdowns occur in the...