This paper concerns both rhythm recognition and tempo analysis of expressive music performance based on a probabilistic approach. In rhythm recognition, the modern continuous speech recognition technique is applied to find the most likely intended note sequence from the given sequence of fluctuating note durations in the performance. Combining stochastic models of note durations deviating from ...

Parallel computers and distributed systems are becoming increasingly important. Their impressive computation to cost ratios o er a considerable higher performance than that possible with sequential machines. Yet there are few commercial applications written for them. The reason is that programming in these environments is substantially more di cult than programming for sequential machines. In t...

In the current literature preferred tempo is usually located around 100 bpm (600 ms) (Fraisse, 1982). We will give a review of more recent experimental evidence and present a series of experiments and analyses of existing data that show that preferred tempo is located at a significantly faster speed. It will be shown that it is located somewhere between 120 and 130 bpm, so 500 ms (120 bpm) is m...

In this paper, we describe a CBR system for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Within the tempo transformation process, the expressivity of the performance is adjusted in such a way that the result sounds natural for the new tempo. A case base of previously performed melodies is used to infer the appropriate expressivity. ...

The effect of deviations from temporal expectations on tempo discrimination was studied in 3 experiments using isochronous auditory sequences. Temporal deviations consisted of advancing or delaying the onset of a comparison pattern relative to an "expected" onset, defined by an extension of the periodicity of a preceding standard pattern. An effect of onset condition was most apparent when resp...

Tempo is a simple formal language for modeling distributed, concurrent, and timed systems as collections of interacting state machines, called timed input/output automata. Tempo provides natural mathematical notations for describing systems, their intended properties, and intended relationships between their descriptions at varying levels of abstraction. The Tempo Toolkit is an implementation o...

This study used the psychophysical approach to investigate the impact of tempo and volume of background music on the maximum acceptable weight of lift (MAWL), heart rate (HR) and rating of perceived exertion (RPE) of participants engaged in lifting. Ten male college students participated in this study. They lifted a box from the floor, walked 1-2 steps as required, placed the box on a table and...

A frequently occurring problem of state-of-the-art tempo estimation algorithms is that the predicted tempo for a piece of music is a whole-number multiple or fraction of the tempo as perceived by humans (tempo octave errors). While often this is simply caused by shortcomings of the used algorithms, in certain cases, this problem can be attributed to the fact that the actual number of beats per ...

Automatic beat tracking and tempo estimation are challenging tasks, especially for audio music with timevarying tempo. This paper proposes tempogram-based probabilistic dynamic model to deal with beat tracking with time-varying tempo. In particular, the tempogram is the base to obtain correct beat positions. The probabilistic model to estimate the beat positions include tempogram strength model...

Specialization is an automatic approach to customizing a program with respect to con guration values. In this paper, we present a survey of Tempo, a specializer for the C language. Tempo o ers specialization at both compile time and run time, and both program and data specialization. To control the specialization process, Tempo provides the program developer with a declarative language to descr...