A Music Information Retrieval System Based on Singing Voice Timbre
نویسندگان
چکیده
We developed a music information retrieval system based on singing voice timbre, i.e., a system that can search for songs in a database that have similar vocal timbres. To achieve this, we developed a method for extracting feature vectors that represent characteristics of singing voices and calculating the vocal-timbre similarity between two songs by using a mutual information content of their feature vectors. We operated the system using 75 songs and confirmed that the system worked appropriately. According to the results of a subjective experiment, 80% of subjects judged that compared with a conventional method using MFCC, our method finds more appropriate songs that have similar vocal timbres.
منابع مشابه
Music Information Retrieval from a Singing Voice Based on Verification of Recognized Hypotheses
Several music information retrieval (MIR) systems have been developed which retrieve musical pieces by the user’s singing voice. All of these systems use only melody information for retrieval, although lyrics information is also useful for retrieval. In this paper, we propose an MIR system that uses both melody and lyrics information in the singing voice. The MIR system verifies hypotheses outp...
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 کاملSinging Voice Separation from Monaural Recordings
Separating singing voice from music accompaniment has wide applications in areas such as automatic lyrics recognition and alignment, singer identification, and music information retrieval. Compared to the extensive studies of speech separation, singing voice separation has been little explored. We propose a system to separate singing voice from music accompaniment from monaural recordings. The ...
متن کاملContext-Aware Features for Singing Voice Detection in Polyphonic Music
The effectiveness of audio content analysis for music retrieval may be enhanced by the use of available metadata. In the present work, observed differences in singing style and instrumentation across genres are used to adapt acoustic features for the singing voice detection task. Timbral descriptors traditionally used to discriminate singing voice from accompanying instruments are complemented ...
متن کاملMusical Information Extraction from the Singing Voice
Music information retrieval is currently an active research area that addresses the extraction of musically important information from audio signals, and the applications of such information. The extracted information can be used for search and retrieval of music in recommendation systems, or to aid musicological studies or even in music learning. Sophisticated signal processing techniques are ...
متن کامل