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Information retrieval for music and motion
Analysis and Retrieval Techniques for Music Data.- Fundamentals on Music and Audio Data.- Pitch- and Chroma-Based Audio Features.- Dynamic Time Warping.- Music Synchronization.- Audio Matching.-Expand
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Dynamic Time Warping
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Motion templates for automatic classification and retrieval of motion capture data
TLDR
We introduce the concept of motion templates (MTs), by which the essence of an entire class of logically related motions can be captured in an explicit and semantically interpretable matrix representation. Expand
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A data-driven approach for real-time full body pose reconstruction from a depth camera
TLDR
We present an efficient and robust pose estimation framework for tracking full-body motions from a single depth image stream. Expand
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Signal Processing for Music Analysis
TLDR
Music signal processing may appear to be the junior relation of the large and mature field of speech signal processing, not least because many techniques and representations originally developed for speech have been applied to music, often with good results. Expand
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High resolution audio synchronization using chroma onset features
TLDR
The general goal of music synchronization is to automatically align the multiple information sources such as audio recordings, MIDI files, or digitized sheet music related to a given musical work. Expand
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Personalization and Evaluation of a Real-Time Depth-Based Full Body Tracker
TLDR
We present a robust algorithm for estimating a personalized human body model from just two sequentially captured depth images that is more accurate and runs an order of magnitude faster than the current state-of-the-art procedure. Expand
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State of the Art Report: Audio-Based Music Structure Analysis
TLDR
This paper gives an overview of state-of-the-art methods for music structure analysis, where the general goal is to divide an audio recording into temporal segments corresponding to musical parts and to group these segments into musically meaningful categories. Expand
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Audio Matching via Chroma-Based Statistical Features
TLDR
In this paper, we introduce a new type of chroma-based audio feature that strongly correlates to the harmonic progression of the audio signal. Expand
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Unsupervised Detection of Music Boundaries by Time Series Structure Features
TLDR
In this paper we propose an unsupervised method for boundary detection, combining three basic principles: novelty, homogeneity, and repetition. Expand
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