Singer Identification in Rembetiko Music
نویسندگان
چکیده
In this paper, the problem of the automatic identification of a singer is investigated using methods known from speaker identification. Ways for using world models are presented and the usage of Cepstral Mean Subtraction (CMS) is evaluated. In order to minimize the difference due to musical style we use a novel data set, consisting of samples from greek Rembetiko music, being very similar in style. The data set also explores for the first time the influence of the recording quality, by including many historical gramophone recordings. Experimental evaluations show the benefits of world models for frame selection and CMS, resulting in an average classification accuracy of about 81% among 21 different singers. KeywordsArtist Identification, Music Information Retrieval, Gaussian Mixture Model
منابع مشابه
The relation of improvisation in music & Social character of improviser
This research investigates the relation of social practices and behavior of the musician or singer with the quality of his improvisation in the field of music. Using analytic method and field study, it explores the views of two groups of interviewees in the form of two separate statistical communities. The first sample consists of outstanding teachers of music in sixties and nineties which deal...
متن کاملAutomatic singer identification of popular music recordings via estimation and modeling of solo vocal signal
This study presents an effective technique for automatically identifying the singer of a music recording. Since the vast majority of popular music contains background accompaniment during most or all vocal passages, directly acquiring isolated solo voice data for extracting the singer’s vocal characteristics is usually infeasible. To eliminate the interference of background music for singer ide...
متن کاملAnalysis of Audio Descriptor Contribution in Singer Identification Process
An audio descriptor describes the information of an audio signal in a compact and precise representation. There are various standards available to extract the audio information in various ways to be used for particular applications such as, speaker recognition, musical instrument identification, singer identification, multimedia database indexing, genre detection and so on. There are various au...
متن کاملA Novel Method to Identify Audio Descriptors, Useful in Gender Identification from North Indian Classical Music Vocal
Gender identification application of Music Information Retrieval (MIR) research requires that the audio features that are extracted from the sound files should be sufficiently strong to be able to correctly classify the singer into male or a female. In literature, a lot of such applications are developed for speaker’s gender identification. Unfortunately, these applications cannot be applied fo...
متن کاملSystem and Method for Automatic Singer Identification
singer identification, singing voice detection, music analysis, music classification, music retrieval, audio browsing, music database management The singer's information is essential in organizing, browsing and retrieving music collections. In this technical report, a system for automatic singer identification is developed which recognizes the singer of a song by analyzing the music signal. Mea...
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 2007