We present an approach to phrase segmentation that starts with an expressive music performance. Previous research has shown that phrases are delineated by tempo speedups and slowdowns. We propose a dynamic programming algorithm for extracting phrases from tempo information. We test two hypotheses for modeling phrase tempo shapes: a quadratic model, and a spline curve. We test the two models on ...

We introduce an audio retrieval-by-example system for orchestral music. Unlike many other approaches, this system is based on analysis of the audio waveform and does not rely on symbolic or MIDI representations. ARTHUR retrieves audio on the basis of long-term structure, specifically the variation of soft and louder passages. The longterm structure is determined from envelope of audio energy ve...

In this thesis, we present a general bidimensional markovian approach in theframework of handwritten document analysis and recognition. This approachcalled AMBRES (Bidimensional Markovian Approach for image Recognition andSegmentation) is based on Markov random elds, 2D dynamic programming anda bidimensional analysis of images.AMBRES has been successfully applied to a wi...

A model that calculates similarity of tonal evolution among pieces in an audio database is presented. The model employs a template based key finding algorithm. This algorithm is used in a sliding window fashion to obtain a sequence of tonal center estimates that delineate the trajectory of tonal evolution in tonal space. A chroma based representation is used to capture tonality information. Tem...

In this paper we present a score following system based on a Dynamic Bayesian Network, using particle filtering as inference method. The proposed model sets itself apart from existing approaches by including two new extensions: A multi-level tempo model to improve alignment quality of performances with challenging tempo changes, and an extension to reflect different expressive characteristics o...

This paper describes a complete system for reading typewritten lexicon words in noisy images in this case museum index cards. The system is conceptually simple, and straightforward to implement. It involves three stages of processing. The first stage extracts row-regions from the image, where each row is a hypothesized line of text. The next stage scans an OCR classifier over each row image, cr...

Supporting the understanding of classical music is an important topic that involves various research fields such as text analysis and acoustics analysis. Content descriptions are explanations of classical music compositions that help a person to understand technical aspects of the music. Recently, Kuribayashi et al. proposed a method for obtaining content descriptions from the web. However, the...

Transparent ultraviolet (UV) ZnO thin film photoconductors are expected to have great applications in environmental monitoring, large-area displays, and optical communications, and they have drawn enormous interests in recent years. However, at present their performances are not satisfactory: the responsivity R (a parameter characterizing the sensitivity of the device to light) is not high (<1....

If not designed properly, the input section of an analog down-converter can introduce phase noise that can prevail over other noise sources in the system. In the paper we present residual phase noise measurements of a simplified input section of a classical receiver that is composed of various commercially available mixers and driven by an LO amplifier. Introduction A classical design approach ...

A new incomplete decay signal model is proposed to describe the incomplete decay effects in a time-correlated single-photon counting (TCSPC) based fluorescence lifetime imaging (FLIM) system. Based on this model, we modified a MUltiple SIgnal Classification (MUSIC) algorithm to eliminate the incomplete decay effects. Monte Carlo simulations were carried out to demonstrate the performances of th...