Downloads: 140
Survey Paper | Electronics Communication Engineering | Volume 5 Issue 4, April 2016 | Pages: 554 - 557 | India
Survey on 'Singing Voice Separation and Singing Voice Classifier Technique for Voice Separation from Music Accompaniments'
Abstract: Singing voice separation from music is a kind of speech separation and it is a big challenge in many applications. Human auditory system has a good ability of effectively focusing on sound in the surrounding. Most audio signals are from the mixing of several sound sources. Separation of singing voice from music has wide range of application such as lyrics recognition, alignment, singer identification, and music information retrieval. Music accompaniment that is often non-stationary & harmonic. Basically, audio signal is time frequency segments of singing voice. An audio signal classification system should be able to categorize different audio format like speech, background noise, and musical genres, singer identification, karaoke etc. In this paper, discuss about different separation technique and classifier
Keywords: singing voice separation, singing voice classifier-HMM, GMM, SVM
How to Cite?: Nichal Vikas R., Mane Vikram A, "Survey on 'Singing Voice Separation and Singing Voice Classifier Technique for Voice Separation from Music Accompaniments'", Volume 5 Issue 4, April 2016, International Journal of Science and Research (IJSR), Pages: 554-557, https://www.ijsr.net/getabstract.php?paperid=NOV162631, DOI: https://dx.doi.org/10.21275/NOV162631