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Survey Paper | Electronics & Communication Engineering | India | Volume 5 Issue 4, April 2016
Survey on 'Singing Voice Separation and Singing Voice Classifier Technique for Voice Separation from Music Accompaniments'
Nichal Vikas R. | Mane Vikram A
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
Edition: Volume 5 Issue 4, April 2016,
Pages: 554 - 557
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Downloads: 115
Survey Paper, Electronics & Communication Engineering, India, Volume 4 Issue 2, February 2015
Pages: 312 - 315Tandem Algorithm with Supervised Classifier for Pitch Estimation and Voice Separation from Music Accompaniments: Survey
Vikas Nichal | Mane V.A | Gadhave D.D
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Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 1, January 2015
Pages: 2582 - 2586Performance Analysis of RPCA Algorithm for Segregation of Singing Voice from Polyphonic Music
Priyanka K. Umap | Kirti B. Chaudhari