Multiple-Feature Fusion Based Onset Detection for Solo Singing Voice

  title={Multiple-Feature Fusion Based Onset Detection for Solo Singing Voice},
  author={Chee-Chuan Toh and Bingjun Zhang and Ye Wang},
Onset detection is a challenging problem in automatic singing transcription. In this paper, we address singing onset detection with three main contributions. First, we outline the nature of a singing voice and present a new singing onset detection approach based on supervised machine learning. In this approach, two Gaussian Mixture Models (GMMs) are used to classify audio features of onset frames and non-onset frames. Second, existing audio features are thoroughly evaluated for this approach to… CONTINUE READING
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