Vocal Separation in Music Using SVM and Selective Frequency Subtraction
نویسندگان
چکیده
منابع مشابه
Speech/Music Classification using SVM
Audio classification serves as the fundamental step towards the rapid growth in audio data volume. Automatic audio classification is very useful in audio indexing; content based audio retrieval and online audio distribution. The accuracy of the classification relies on the strength of the features and classification scheme. In this work both, time domain and frequency domain features are extrac...
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Today, digital audio applications are part of our everyday lives. Automatic audio classification is very useful in audio indexing; content based audio retrieval and online audio distribution. The accuracy of the classification relies on the strength of the features and classification scheme. In this work both, time domain and frequency domain features are extracted from the input signal. Time d...
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161 Abstract— Recently, According to increasing interest to original sound Karaoke instrument, MIDI type karaoke manufacturer attempt to make more cheap method instead of original recoding method. Separating technique for singing voice from music accompaniment is very useful in such equipment. We propose a system to separate singing voice from music accompaniment for stereo recordings. Our syst...
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Recently, kernel additive modeling with generalized spatial Wiener filtering (GW) was presented for music/voice separation. In this paper, an adaptive auditory filtering, called generalized weighted β-order MMSE estimation (WbE), is applied to the basic iterative kernel back-fitting algorithm for improving the separation performance of monaural music signal into music/voice components. In the p...
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ژورنال
عنوان ژورنال: The Journal of the Korea institute of electronic communication sciences
سال: 2015
ISSN: 1975-8170
DOI: 10.13067/jkiecs.2015.10.1.1