This paper proposes a pitch estimation algorithm that is based on optimal harmonic model fitting. The algorithm operates directly on the time-domain signal and has a relatively simple mathematical background. To increase its efficiency and accuracy, the algorithm is applied in combination with an autocorrelation-based initialization phase. For testing purposes we compare its performance on pitc...

This paper describes a sound source separation method for polyphonic sound mixtures of music including both harmonic and inharmonic sounds, and constrained parameter estimation using standard MIDI files as prior information. The difficulties in dealing with both types of sound together have not been addressed in most previous methods that have focused on either of the two types separately, beca...

In this paper we present a new method for pitch estimation using a system based on phase-locked-loop devices. Three main blocks define our system. The aim of the first one is to make an harmonic decomposition of the speech signal. This stage is implemented using a band-pass filter bank and phase-lockedloops cascaded to the output of each filter. A second block enhances the harmonic correspondin...

In this paper I introduce a method, called PreFEst, for estimating the fundamental frequency (F0) of simultaneous sounds in monaural polyphonic audio signals. Most previous F0-estimation methods have had difficulty dealing with such complex audio signals because these methods were designed to deal with mixtures of only a few sounds. Without assuming the number of sound sources, PreFEst can esti...

The paper presents an adaptive least mean squares (LMS) algorithm for the fast estimation of voltage and current signals in power networks. The new estimator is based on the use of linear combiners. The learning parameter of the proposed algorithm is constrained by two variable parameters which causes an automatic suitable adjustment of the step size using a fuzzy gain scheduling method to prov...

Multipitch estimation is an important and difficult problem in entertainment computing. In this paper a flexible harmonic temporal structure for modeling musical instrument was proposed for estimating pitch in real music. Unlike the previous research, the proposed model does multipitch estimation according to the specific characteristics of specific musical instrument and uses EM algorithm to e...

We present a general framework for sensitivity optimization in quantum parameter estimation schemes based on continuous ~indirect! observation of a dynamical system. As an illustrative example, we analyze the canonical scenario of monitoring the position of a free mass or harmonic oscillator to detect weak classical forces. We show that our framework allows the consideration of sensitivity sche...

A new parameter estimation method for a point moving harmonic source with unknown moving velocity and frequency is presented in this paper. The time-frequency representation of the source signal is taking the place of traditional time correlation estimation methods. For a harmonic source moving at constant velocity, the received signal which is amplitude and frequency modulated has no spatial c...

New Time-Frequency Domain Pitch Estimation Methods for Speech Signals under Low Levels of SNR Celia Shahnaz, Ph.D. Concordia University, 2009 Pitch estimation of speech signals is the key to understanding most acoustical phenomena as well as accurately designing many practical systems in speech communication. It is to determine the fundamental frequency or period of a vocal cord vibration causi...

Since important musical features are mutually dependent, their relations should be analyzed simultaneously. Their Bayesian analysis is particularly important to reveal their statistical relation. As the first step for a unified music content analyzer, we focus on the harmonic and temporal structures of the wavelet spectrogram obtained from harmonic sounds. In this paper, we present a new Bayesi...