Journal Article10.1109/JSTSP.2011.2158804
Multiple Pitch Estimation Using Non-Homogeneous Poisson Processes
Paul Peeling,Simon J. Godsill +1 more
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TL;DR: This model avoids the data-association step of linking the harmonics of each note with the corresponding partials and is ideal for efficient Bayesian inference of unknown multiple fundamental frequencies in a signal.
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Abstract: Novel statistical models are proposed and developed in this paper for automated multiple-pitch estimation problems. Point estimates of the parameters of partial frequencies of a musical note are modeled as realizations from a non-homogeneous Poisson process defined on the frequency axis. When several notes are combined, the processes for the individual notes combine to give a new Poisson process whose likelihood is easy to compute. This model avoids the data-association step of linking the harmonics of each note with the corresponding partials and is ideal for efficient Bayesian inference of unknown multiple fundamental frequencies in a signal.
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Citations
Automatic music transcription: challenges and future directions
Emmanouil Benetos,Simon Dixon,Dimitrios Giannoulis,Holger Kirchhoff,Anssi Klapuri +4 more
- 01 Dec 2013
TL;DR: Limits of current transcription methods are analyzed and promising directions for future research are identified, including the integration of information from multiple algorithms and different musical aspects.
Combining spectral and temporal representations for multipitch estimation of polyphonic music
Li Su,Yi-Hsuan Yang +1 more
TL;DR: A novel approach, referred to as combined frequency and periodicity (CFP), that detects pitches according to the agreement of a harmonicseries in the frequency domain and a subharmonic series in the lag domain, and improves the robustness of the pitch detection function to the interference of the overtones of simultaneous pitches.
83
An efficient temporally-constrained probabilistic model for multiple-instrument music transcription
Emmanouil Benetos,Tillman Weyde +1 more
- 26 Oct 2015
TL;DR: Results on multi-pitch detection and instrument assignment show that the proposed models outperform the state-of-the-art for multiple-instrument transcription and is more than 20 times faster compared to a previous sound state-based model.
Real-Time Piano Music Transcription Based on Computer Vision
Mohammad Akbari,Howard Cheng +1 more
TL;DR: This paper proposes an innovative computer vision-based automatic music transcription system named claVision to perform piano music transcription, which performs the transcription only from the video performance captured by a camera mounted over the piano keyboard.
38
•Dissertation
Automatic Transcription of Polyphonic Music Exploiting Temporal Evolution
Emmanouil Benetos
- 31 Dec 2012
TL;DR: This work was funded by a Queen Mary University of London Westfield Trust Research Studentship and was the first of its kind to investigate the role of nanofiltration in the response to EMT.
References
Matching pursuits with time-frequency dictionaries
Stéphane Mallat,Zhifeng Zhang +1 more
TL;DR: The authors introduce an algorithm, called matching pursuit, that decomposes any signal into a linear expansion of waveforms that are selected from a redundant dictionary of functions, chosen in order to best match the signal structures.
10.2K
•Book
Auditory Scene Analysis: The Perceptual Organization of Sound
Albert S. Bregman
- 01 Jun 1990
TL;DR: Auditory Scene Analysis as discussed by the authors addresses the problem of hearing complex auditory environments, using a series of creative analogies to describe the process required of the human auditory system as it analyzes mixtures of sounds to recover descriptions of individual sounds.
3K
•Book
Statistical Methods for Reliability Data
Wayne Nelson
- 24 Jul 1998
TL;DR: In this paper, the use of Bayesian methods for reliability data is discussed and a detailed discussion of the application of these methods in the context of automated life test planning is presented.
Statistical Methods for Reliability Data
TL;DR: Statistical Methods For Reliability Data updates and improves established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis.
2K
•Book
The Physics of Musical Instruments
Neville H. Fletcher,Thomas D. Rossing,Gabriel Weinreich +2 more
- 01 Jan 1991
TL;DR: In this paper, the authors present a survey of the materials for musical instruments and their use in sound generation by Reed and Lip Vibrations, and their application to musical instruments.
1.2K