Comparing Sequential and“Bag of Sections” Techniques for Musical Genre Classification
نویسنده
چکیده
A lot of genre classification work to date has gone into exploring features that demarcate genre either at the lowest (sample) level or the highest level (overall acoustic characteristics of the song). Features evaluated at the sample level are more concerned with sonic qualities like timbre and pitch, whereas higher-level features tend to focus on key, mode, tempo, and other descriptive features of the whole song. This paper focuses instead on the space between these two strata in order to evaluate the extent to which structural-level features of music (e.g. chorus or verse level) delimit particular musical genres. The challenge with this level is that one of the most important attributes of musical composition structures is their ordering, and their various repetitions throughout a particular song. As such, this paper compares different models that variously do or do not take sequencing into account in order to quantify the importance of song structure in determining genre.
منابع مشابه
Rhyme and Style Features for Musical Genre Classification by Song Lyrics
How individuals perceive music is influenced by many different factors. The audible part of a piece of music, its sound, does for sure contribute, but is only one aspect to be taken into account. Cultural information influences how we experience music, as does the songs’ text and its sound. Next to symbolic and audio based music information retrieval, which focus on the sound of music, song lyr...
متن کاملMusical Genre Classification of Audio Data Using Source Separation Techniques
We propose a two-step, audio feature-based musical genre classification methodology. First, we identify and separate the various musical instrument sources in the audio signal, using the convolutive sparse coding algorithm. Next, we extract classification features from the separated signals that correspond to distinct musical instrument sources. The methodology is evaluated and its performance ...
متن کاملشناسایی خودکار سبک موسیقی
Nowadays, automatic analysis of music signals has gained a considerable importance due to the growing amount of music data found on the Web. Music genre classification is one of the interesting research areas in music information retrieval systems. In this paper several techniques were implemented and evaluated for music genre classification including feature extraction, feature selection and m...
متن کاملIssues in Automatic Musical Genre Classification
A novel software system that automatically classifies musical recordings based on genre is presented and discussed. This system is intended as a demonstration of how automated musical feature extraction from MIDI files, machine learning and pattern recognition techniques can be applied to the general tasks of music classification and grouping. The nebulous definitions and overlapping boundaries...
متن کاملMusical genre classification of audio signals
Musical genres are categorical labels created by humans to characterize pieces of music. A musical genre is characterized by the common characteristics shared by its members. These characteristics typically are related to the instrumentation, rhythmic structure, and harmonic content of the music. Genre hierarchies are commonly used to structure the large collections of music available on the We...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011