We propose a new catalog-based speech-music separation method for background music removal. Assuming that we know a catalog of the background music, we develop a generative model for the superposed speech and music spectrograms. We represent the speech spectrogram by a Non-negative Matrix Factorization (NMF) model and the music spectrogram by a conditional Poisson Mixture Model (PMM). By choosi...

In this paper, we propose a new background music recommendation scheme for home videos and two new features describing the short-term motion/tempo distribution in visual/aural content. Unlike previous researches that merely matched the visual and aural contents through a perceptual way, we incorporate the textual semantics and content semantics while determining the matching degree of a video a...

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The present paper investigates the effects of different kinds of music on information searching in a crowded cafeteria. Our experiment employs four texts that differ in length only, not in content or syntactic complexity. Each text is loaded on a web page and displayed on a PDA. We ask to participants 20 questions about each text and then compare their accuracy and performance time. Participant...

Recently, content-based music information retrieval (MIR) systems for mobile devices have attracted great interest. However, music retrieval systems are greatly affected by background noise when music is recorded in noisy environments. Therefore, we evaluated various pre-processing methods using the Philips method to determine the one that performs most robust music retrieval in such environmen...

The video game industry has grown to a multibillion dollar, worldwide industry. The background music tends adaptively in reference to the specific game content during the game length of the play. Adaptive music should be further explored by looking at the particular condition in the game; such condition is driven by generating a specific music in the background which best fits in with the activ...

Abstract Binarization is an important step for most of document analysis systems. Regarding music score images with a complex background, the existence background clutters variety shapes and colors creates many challenges binarization. This paper presents model binarization by fusion deep convolutional neural networks. Our directly trained from image regions using pixel values as inputs binary ...