Impact Factor:6.549
Scopus Suggested Journal: |
International Journal
of Computer Engineering in Research Trends (IJCERT)
Scholarly, Peer-Reviewed, Open Access and Multidisciplinary
International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary
ISSN(Online):2349-7084 Submit Paper Check Paper Status Conference Proposal
[1] Tuomas Virtanen ,â€Unsupervised Learning Methods for Source Separation in Monaural Music Signals†Tuomas Virtanen [2] T. Virtanen, “Monaural sound source separation by nonnegative matrix factorization with temporal continuity and sparseness criteria,†IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 3, pp. 1066–1074,Mar. 2007. [3] J. Yoo et al., “Nonnegative matrix partial co-factorization for drum source separation,†in Proc. IEEE Int. Conf. Acoust. Speech, Signal Process., 2010, pp. 1942 1945. [4] M. Kim et al., “Nonnegative matrix partial co-factorization for spectral and temporal drum source separation,†IEEE J. Sel. Topics Signal Process., vol. 5, no. 6, pp. 1192–1204, Dec. 2011. [5] Y. Hu and G. Z. Liu, “Singer identification based on computational auditory scene analysis and missing feature methods,†J. Intell. Inf. Syst., pp. 1–20, 2013. [6] McAulay, Robert J., and Thomas F. Quatieri. "Pitch estimation and voicing detection based on a sinusoidal speech model." Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on. IEEE, 1990. [7] T. Virtanen, A. Mesaros, and M. Ryynanen, “Combining pitch-based inferenceandnon-negative spectrogram factorization in separating vocals from polyphonic music,†in Proc. ISCA Tutorial Res. Workshop Statist. Percept. Audit. (SAPA), 2008 [8] Zafar Rafii and Bryan Pardo, “REpeating Pattern Extraction Technique (REPET): A Simple Method for Music/Voice Separationâ€, IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, no. 1, pp. 71 – 82, January 2013. [9] Ying Hu and Guizhong Liu, “Separation of Singing Voice Using Nonnegative Matrix Partial CoFactorization for Singer Identificationâ€, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23, no. 4, pp. 643 – 653, April 2015. [10] Yipeng Li, DeLiang Wang, Separation of Singing Voice from Music Accompaniment for Monaural Recordings, IEEE Transactions on Audio, Speech, and Language Processing,v.15 n.4, p.1475-1487, May 2007. [11] Virtanen, Tuomas. "Sound source separation using sparse coding with temporal continuity objective." Proc. ICMC. Vol. 3. 2003. [12] ICASSP 2007 Tutorial - Audio Source Separation based on Independent Component Analysis Shoji Makino and Hiroshi Sawada (NTT Communication Science Laboratories, NTT Corporation) [13] Makino, Shoji, et al. "Audio source separation based on independent component analysis." Circuits and Systems, 2004. ISCAS'04. Proceedings of the 2004 International Symposium on. Vol. 5. IEEE, 2004. [14] Virtanen, Tuomas. "Separation of sound sources by convolutive sparse coding." ISCA Tutorial and Researc Workshop (ITRW) on Statistical and Perceptual Audio Processing. 2004. [15] Non-negative matrix factorization based compensation of music for automatic speech recognition, Bhiksha Raj, T. Virtanen, Sourish Chaudhure, Rita Singh, 2010. [16] Reynolds, Douglas A., Thomas F. Quatieri, and Robert B. Dunn. "Speaker verification using adapted Gaussian mixture models." Digital signal processing 10.1 (2000): 19-41. [17] Hochreiter, Sepp, and Michael C. Mozer. "Monaural separation and classification of mixed signals: A support-vector regression perspective." 3rd International Conference on Independent Component Analysis and Blind Signal Separation, San Diego, CA. 2001.
![]() | V3I1103.pdf |
Latest issue :Volume 10 Issue 1 Articles In press
☞ INVITING SUBMISSIONS FOR THE NEXT ISSUE : |
---|
☞ LAST DATE OF SUBMISSION : 31st March 2023 |
---|
☞ SUBMISSION TO FIRST DECISION : In 7 Days |
---|
☞ FINAL DECISION : IN 3 WEEKS FROM THE DAY OF SUBMISSION |
---|