Abstract — In this paper, we present a novel method for joint estimation of the fundamental frequency and order of a set of harmonically related sinusoids based on the MUSIC estimation criterion. The presented method, termed HMUSIC, is shown to have an efficient implementation using FFTs. Furthermore, refined estimates can be obtained using a gradient-based method. Illustrative examples of the application of the algorithm to real-life speech and audio signals are given, and the statistical performance of the estimator is evaluated using synthetic signals, demonstrating its good statistical properties. I
In this paper, we present a subspace-based fundamental fre-quency estimator based on an extension of...
In signal processing applications of harmonic-structured signals, estimates of the fundamental frequ...
A computationally efficient method for the fundamental frequency estimation of a group of harmonical...
We consider the problem of estimating the fundamental frequency of periodic signals such as audio an...
Joint fundamental frequency and model order estimation is an im-portant problem in several applicati...
cote interne IRCAM: Yeh05aNone / NoneNational audienceThis article is concerned with the estimation ...
© 2020 IEEE.A computationally efficient method for the fundamental frequency estimation of a group o...
In this paper, two optimal filter designs for fundamental frequency estimation are presented with th...
Abstract In this paper, the problem of jointly estimating the number of harmonics and the fundamenta...
prediction based method is proposed for real harmonic sinusoidal frequency estimation. The estimator...
Joint fundamental frequency and model order estimation is an important problem in several applicatio...
Abstract: This paper presents a new harmonics frequency estimation method. Unlike the conventional h...
The goal of a polyphonic music transcription system is to extract a score from an audio signal. A mu...
For real-time applications, a fundamental frequency estimation algorithm must be able to obtain accu...
This paper presents an algorithm to estimate the parameters of two closely spaced sinusoids, providi...
In this paper, we present a subspace-based fundamental fre-quency estimator based on an extension of...
In signal processing applications of harmonic-structured signals, estimates of the fundamental frequ...
A computationally efficient method for the fundamental frequency estimation of a group of harmonical...
We consider the problem of estimating the fundamental frequency of periodic signals such as audio an...
Joint fundamental frequency and model order estimation is an im-portant problem in several applicati...
cote interne IRCAM: Yeh05aNone / NoneNational audienceThis article is concerned with the estimation ...
© 2020 IEEE.A computationally efficient method for the fundamental frequency estimation of a group o...
In this paper, two optimal filter designs for fundamental frequency estimation are presented with th...
Abstract In this paper, the problem of jointly estimating the number of harmonics and the fundamenta...
prediction based method is proposed for real harmonic sinusoidal frequency estimation. The estimator...
Joint fundamental frequency and model order estimation is an important problem in several applicatio...
Abstract: This paper presents a new harmonics frequency estimation method. Unlike the conventional h...
The goal of a polyphonic music transcription system is to extract a score from an audio signal. A mu...
For real-time applications, a fundamental frequency estimation algorithm must be able to obtain accu...
This paper presents an algorithm to estimate the parameters of two closely spaced sinusoids, providi...
In this paper, we present a subspace-based fundamental fre-quency estimator based on an extension of...
In signal processing applications of harmonic-structured signals, estimates of the fundamental frequ...
A computationally efficient method for the fundamental frequency estimation of a group of harmonical...