Multi-pitch estimation

Authors:
Mads Grísbøll Christensen;Petre Stoica;Andreas Jakobsson;Søren Holdt Jensen
Affiliations:
Department of Electronic Systems, Aalborg University, Niels Jernes Vej 12, DK-9220 Aalborg, Denmark;Department of Information Technology, Uppsala University, P.O. Box 337, SE-751 05 Uppsala, Sweden;Department of Electrical Engineering, Karlstad University, Universitetsgatan 2, SE-651 88 Karlstad, Sweden;Department of Electronic Systems, Aalborg University, Niels Jernes Vej 12, DK-9220 Aalborg, Denmark
Venue:
Signal Processing
Year:
2008

Citing 11
Cited 9

Fundamentals of statistical signal processing: estimation theory

Fundamentals of statistical signal processing: estimation theory
Computationally efficient parameter estimation for harmonic sinusoidal signals

Signal Processing - Special issue on current topics in adaptive filtering for hands-free acoustic communication and beyond
Convex Optimization

Convex Optimization
Signal Processing Methods for Music Transcription

Signal Processing Methods for Music Transcription
Harmonic decomposition of audio signals with matching pursuit

IEEE Transactions on Signal Processing
Computing the discrete-time “analytic” signal via FFT

IEEE Transactions on Signal Processing
Cisoid parameter estimation in the colored noise case: asymptoticCramer-Rao bound, maximum likelihood, and nonlinear least-squares

IEEE Transactions on Signal Processing
Amplitude estimation of sinusoidal signals: survey, new results,and an application

IEEE Transactions on Signal Processing
Estimation of the Instantaneous Pitch of Speech

IEEE Transactions on Audio, Speech, and Language Processing
Joint High-Resolution Fundamental Frequency and Order Estimation

IEEE Transactions on Audio, Speech, and Language Processing
A temporal-analysis-based pitch estimation system for noisy speech with a comparative study of performance of recent systems

IEEE Transactions on Neural Networks

Verified speaker localization utilizing voicing level in split-bands

Signal Processing
Fast communication: Iterative quadratic maximum likelihood based estimator for a biased sinusoid

Signal Processing
A robust and computationally efficient subspace-based fundamental frequency estimator

IEEE Transactions on Audio, Speech, and Language Processing
Fast communication: An iterative subspace-based multi-pitch estimation algorithm

Signal Processing
Optimal filters for extraction and separation of periodic sources

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Optimal filter designs for separating and enhancing periodic signals

IEEE Transactions on Signal Processing
Fast communication: Structured total least squares approach for efficient frequency estimation

Signal Processing
Precision of harmonic amplitude estimation on jitter corrupted data using sine fitting

Signal Processing
Musical pitch estimation using a supervised single hidden layer feed-forward neural network

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.09

Visualization

Abstract

In this paper, we formulate the multi-pitch estimation problem and propose a number of methods to estimate the set of fundamental frequencies. The proposed methods, based on the nonlinear least-squares (NLS), MUltiple SIgnal Classification (MUSIC) and the Capon principles, estimate the multiple fundamental frequencies via a number of one-dimensional searches. We also propose an iterative method based on the Expectation Maximization (EM) algorithm. The statistical properties of the methods are evaluated via Monte Carlo simulations for both the single- and multi-pitch cases.