Singing Voice Separation Based on Non-vocal Independent Component Subtraction and Amplitude Discrimination
نویسندگان
چکیده
Many applications of Music Information Retrieval can benefit from effective isolation of the music sources. Earlier work by the authors led to the development of a system that is based on Azimuth Discrimination and Resynthesis (ADRess) and can extract the singing voice from reverberant stereophonic mixtures. We propose an extension to our previous method that is not based on ADRess and exploits both channels of the stereo mix more effectively. For the evaluation of the system we use a dataset that contains songs convolved during mastering as well as the mixing process (i.e. “real-world” conditions). The metrics for objective evaluation are based on bss_eval.
منابع مشابه
Singing 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 کاملSpectro-temporal modulation based singing detection combined with pitch-based grouping for singing voice separation
A spectro-temporal modulation based singing voice detection cascaded with a Viterbi based pitch tracking algorithm is proposed in this paper for singing-voice separation from monaural recordings. To detect the singing voice, the spectrotemporal modulation energy related to voice harmonics is extracted using a spectro-temporal modulation analysis framework developed for the Fourier spectrogram. ...
متن کاملSinging Voice Separation from Monaural Music Based on Kernel Back-Fitting Using Beta-Order Spectral Amplitude Estimation
Separating the leading singing voice from the musical background from a monaural recording is a challenging task that appears naturally in several music processing applications. Recently, kernel additive modeling with generalized spatial Wiener filtering (GW) was presented for music/voice separation. In this paper, an adaptive auditory filtering based on β-order minimum mean-square error spectr...
متن کاملLow-Rank Representation of Both Singing Voice and Music Accompaniment Via Learned Dictionaries
Recent research work has shown that the magnitude spectrogram of a song can be considered as a superposition of a low-rank component and a sparse component, which appear to correspond to the instrumental part and the vocal part of the song, respectively. Based on this observation, one can separate singing voice from the background music. However, the quality of such separation might be limited,...
متن کاملThe singing power ratio as an objective measure of singing voice quality in untrained talented and nontalented singers.
A growing body of contemporary research has investigated differences between trained and untrained singing voices. However, few studies have separated untrained singers into those who do and do not express abilities related to singing talent, including accurate pitch control and production of a pleasant timbre (voice quality). This investigation studied measures of the singing power ratio (SPR)...
متن کامل