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719,930
Evaluation of Real-Time Audio-to-Score Alignment
- Proc. Int’l Symp. Music Information Retrieval
, 2007
"... This article explains evaluation methods for real-time audio to score alignment, or score following, that allow for the quantitative assessment of the robustness and preciseness of an algorithm. The published ground truth data base and the evaluation framework, including file formats for the score a ..."
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Cited by 20 (3 self)
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This article explains evaluation methods for real-time audio to score alignment, or score following, that allow for the quantitative assessment of the robustness and preciseness of an algorithm. The published ground truth data base and the evaluation framework, including file formats for the score
A Scheme for Real-Time Channel Establishment in Wide-Area Networks
- IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
, 1990
"... Multimedia communication involving digital audio and/or digital video has rather strict delay requirements. A real-time channel is defined in this paper as a simplex connection between a source and a destination characterized by parameters representing the performance requirements of the client. A r ..."
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Cited by 710 (31 self)
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Multimedia communication involving digital audio and/or digital video has rather strict delay requirements. A real-time channel is defined in this paper as a simplex connection between a source and a destination characterized by parameters representing the performance requirements of the client. A
Real-time human pose recognition in parts from single depth images
- In In CVPR, 2011. 3
"... We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler p ..."
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Cited by 550 (19 self)
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local modes. The system runs at 200 frames per second on consumer hardware. Our evaluation shows high accuracy on both synthetic and real test sets, and investigates the effect of several training parameters. We achieve state of the art accuracy in our comparison with related work and demonstrate
A MULTI-PASS ALGORITHM FOR ACCURATE AUDIO-TO-SCORE ALIGNMENT
"... Most current audio-to-score alignment algorithms work on the level of score time frames; i.e., they cannot differentiate between several notes occurring at the same discrete time within the score. This level of accuracy is sufficient for a variety of applications. However, for those that deal with, ..."
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Cited by 11 (3 self)
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Most current audio-to-score alignment algorithms work on the level of score time frames; i.e., they cannot differentiate between several notes occurring at the same discrete time within the score. This level of accuracy is sufficient for a variety of applications. However, for those that deal with
OFF-LINE REFINEMENT OF AUDIO-TO-SCORE ALIGNMENT BY OBSERVATION TEMPLATE ADAPTATION
"... Audio-to-score alignment aims at matching a symbolic representation (the score) to a musical recording. A key problem in this application is the great variability of audio observations which can be explained by a single symbolic element. Whereas most previous works deal with this problem by training ..."
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Cited by 1 (0 self)
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. Experiments run on a large dataset of popular and classical piano music show that such an approach can lead to a significant improve-ment of the alignment accuracy compared to the use of a single generic model, even if the latter is trained on real data. Index Terms — music processing, audio-to-score
1 Learning Optimal Features for Polyphonic Audio-to-Score Alignment
"... Abstract—This paper addresses the design of feature functions for the matching of a musical recording to the symbolic representation of the piece (the score). These feature functions are defined as dissimilarity measures between the audio observations and template vectors corresponding to the score. ..."
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Cited by 3 (0 self)
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the second one exploits a discriminative framework based on a Conditional Random Fields model (maximum likelihood criterion). We evaluate the influence of the feature functions in an audioto-score alignment task, on a large database of popular and classical polyphonic music. The results show
Improved Statistical Alignment Models
- In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics
, 2000
"... In this paper, we present and compare various single-word based alignment models for statistical machine translation. We discuss the five IBM alignment models, the Hidden-Markov alignment model, smoothing techniques and various modifications. ..."
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Cited by 593 (13 self)
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In this paper, we present and compare various single-word based alignment models for statistical machine translation. We discuss the five IBM alignment models, the Hidden-Markov alignment model, smoothing techniques and various modifications.
Real-time american sign language recognition using desk and wearable computer based video
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1998
"... We present two real-time hidden Markov model-based systems for recognizing sentence-level continuous American Sign Language (ASL) using a single camera to track the user’s unadorned hands. The first system observes the user from a desk mounted camera and achieves 92 percent word accuracy. The secon ..."
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Cited by 620 (26 self)
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We present two real-time hidden Markov model-based systems for recognizing sentence-level continuous American Sign Language (ASL) using a single camera to track the user’s unadorned hands. The first system observes the user from a desk mounted camera and achieves 92 percent word accuracy
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