TY - GEN
T1 - Vocal separation using improved robust principal component analysis and post-processing
AU - Watanabe, Tomohiro
AU - Fujisawa, Takanori
AU - Ikehara, Masaaki
PY - 2016/7/2
Y1 - 2016/7/2
N2 - Due to the spread of the Internet and improvement of the audio compression technology, we need technologies to handle a large number of audio files. Separating singing voice from music is one of them and it is used in many applications, such as lyric retrieval and singer recognition. Recently, robust principal component analysis (RPCA) has been proposed, which makes use of repetition of a phrase in an accompaniment. We assume that there are some points to be improved in RPCA. In this paper, we propose a developed method based on the RPCA algorithm. First, we propose the extended RPCA algorithm that makes use of the two features of the spectrogram. Second, we apply simple post-processing to remove noise effectively. Lastly, we experiment our algorithm using the MIR-1K dataset and confirm that the proposed algorithm shows better separation performance than the conventional RPCA method.
AB - Due to the spread of the Internet and improvement of the audio compression technology, we need technologies to handle a large number of audio files. Separating singing voice from music is one of them and it is used in many applications, such as lyric retrieval and singer recognition. Recently, robust principal component analysis (RPCA) has been proposed, which makes use of repetition of a phrase in an accompaniment. We assume that there are some points to be improved in RPCA. In this paper, we propose a developed method based on the RPCA algorithm. First, we propose the extended RPCA algorithm that makes use of the two features of the spectrogram. Second, we apply simple post-processing to remove noise effectively. Lastly, we experiment our algorithm using the MIR-1K dataset and confirm that the proposed algorithm shows better separation performance than the conventional RPCA method.
UR - http://www.scopus.com/inward/record.url?scp=85015950183&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015950183&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2016.7870055
DO - 10.1109/MWSCAS.2016.7870055
M3 - Conference contribution
AN - SCOPUS:85015950183
T3 - Midwest Symposium on Circuits and Systems
BT - 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
Y2 - 16 October 2016 through 19 October 2016
ER -