We consider the problem of estimating the fundamental frequency of periodic signals such as audio and speech. A novel estimation method based on polynomial rooting of the harmonic MUltiple SIgnal Classification (HMUSIC) is presented. By applying polynomial rooting, we obtain two significant improvements compared to HMUSIC. First, by using the proposed method we can obtain an estimate of the fundamental frequency without doing a grid search like in HMUSIC. This is due to that the fundamental frequency is estimated as the argument of the root lying closest to the unit circle. Second, we obtain a higher spectral resolution compared to HMUSIC which is a property of polynomial rooting methods. Our simulation results show that the proposed method i...
This paper proposes a robust method for estimating the fundamental frequency (F0) in real environmen...
In this paper, we present a subspace-based fundamental fre-quency estimator based on an extension of...
cote interne IRCAM: Yeh05aNone / NoneNational audienceThis article is concerned with the estimation ...
In this paper, the problem of fundamental frequency and direction-of-arrival (DOA) estimation for mu...
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...
Abstract — In this paper, we present a novel method for joint estimation of the fundamental frequenc...
In this paper, the difficult problem of estimating low fundamental frequencies from real-valued meas...
PrintRequest PermissionsPeriodic signals are encountered in many applications. Such signals can be m...
In this paper, we present an algorithm for robustly estimating the fundamental frequency in speech s...
ICSLP2000: the 6th International Conference on Spoken Language Processing, October 16-20, 2000, Bei...
For real-time applications, a fundamental frequency estimation algorithm must be able to obtain accu...
Joint fundamental frequency and model order estimation is an important problem in several applicatio...
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) esti-mation...
This paper proposes a robust and accurate method of estimating the fundamental frequencies (F0s) for...
This paper proposes a robust method for estimating the fundamental frequency (F0) in real environmen...
In this paper, we present a subspace-based fundamental fre-quency estimator based on an extension of...
cote interne IRCAM: Yeh05aNone / NoneNational audienceThis article is concerned with the estimation ...
In this paper, the problem of fundamental frequency and direction-of-arrival (DOA) estimation for mu...
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...
Abstract — In this paper, we present a novel method for joint estimation of the fundamental frequenc...
In this paper, the difficult problem of estimating low fundamental frequencies from real-valued meas...
PrintRequest PermissionsPeriodic signals are encountered in many applications. Such signals can be m...
In this paper, we present an algorithm for robustly estimating the fundamental frequency in speech s...
ICSLP2000: the 6th International Conference on Spoken Language Processing, October 16-20, 2000, Bei...
For real-time applications, a fundamental frequency estimation algorithm must be able to obtain accu...
Joint fundamental frequency and model order estimation is an important problem in several applicatio...
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) esti-mation...
This paper proposes a robust and accurate method of estimating the fundamental frequencies (F0s) for...
This paper proposes a robust method for estimating the fundamental frequency (F0) in real environmen...
In this paper, we present a subspace-based fundamental fre-quency estimator based on an extension of...
cote interne IRCAM: Yeh05aNone / NoneNational audienceThis article is concerned with the estimation ...