Resources for selecting popular music recordings
نویسندگان
چکیده
منابع مشابه
Singer Identification in Popular Music Recordings Using Voice Coding Features Singer Identification in Popular Music Recordings Using Voice Coding Features
In most popular music, the vocals sung by the lead singer are the focal point of the song. The unique qualities of a singer’s voice make it relatively easy for us to identify a song as belonging to that particular artist. With little training, if one i s familiar with a particular singer’s voice one can usually recognize that voice in other pieces, even when hearing a song for the first time. T...
متن کاملTowards Automatic Identification Of Singing Language In Popular Music Recordings
The automatic analysis of singing from music is an important and challenging issue within the research target of content-based retrieval of music information. As part of this research target, this study presents a first attempt to automatically identify the language sung in a music recording. It is assumed that each language has its own set of constraints that specify which of the basic linguis...
متن کاملPitch Estimation of Singing Voice From Monaural Popular Music Recordings
A singing voice separation system is a hard yet popular task in the field of music information retrieval (MIR). If successfully separated, a number of algorithms can be applied to vocal melody for any possible application. In this study, we applied a pitch estimation algorithm after separating a singing voice from background music based on the implementation of REPET [1]. Then we evaluated our ...
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 کاملBlind clustering of popular music recordings based on singer voice characteristics
This paper presents an effective technique for automatically clustering undocumented music recordings based on their associated singer. This serves as an indispensable step towards indexing and content-based information retrieval of music by singer. The proposed clustering system operates in an unsupervised manner, in which no prior information is available regarding the characteristics of sing...
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ژورنال
عنوان ژورنال: Collection Building
سال: 2010
ISSN: 0160-4953
DOI: 10.1108/01604951011015277