A fundamental frequency estimator by crosscorrelation of adjacent spectra
نویسنده
چکیده
All fundamental frequency estimators based on spectral analysis rely heavily on a proper harmonic selection of the voice analyzed. Since in practice other spectral peaks pertaining to different sources are present in the signal, various schemes have been design to ensure a satisfactory elimination of non pertinent harmonics. This paper introduces a new harmonic selection algorithm based on harmonic alignment of adjacent frames. This new approach ensures better pitch tracking, and gives satisfactory results even in the presence of another speech source. The algorithm has been implemented and incorporated in the speech analysis program WinPitch, and tested on various examples provided in the Speech Separation Challenge project.
منابع مشابه
Crosscorrelation of adjacent spectra enhances fundamental frequency tracking
All fundamental frequency estimators based on spectral analysis rely heavily on a proper harmonic selection of the voice analyzed. Since in practice other spectral peaks pertaining to sources external to the speech considered may be present in the signal, various schemes have been designed to ensure a satisfactory elimination of non pertinent harmonics. This paper introduces a new harmonic sele...
متن کاملAnalysis of Power Amplifier Modeling Schemes for Crosscorrelation Predistorters
Amplification of signals with fluctuating envelopes leads to distortion because of non-linear behavior of the Power Amplifier (PA). Digital Predistortion can counteract these non-linear effects. A crosscorrelation predistorter is a digital predistorter, based on the calculation of crosscorrelation functions using coarsely quantized signals. The crosscorrelation functions are transformed to the ...
متن کاملMultiple Fundamental Frequency Estimation Using Gaussian Smoothness and Short Context
A multiple fundamental frequency estimator is presented in this work. At each time frame, a set of fundamental frequencies is found in a frame by frame analysis taking into account the spectral smoothness measure described in [1] and the information contained in adjacent frames.
متن کاملCrosscorrelation Spectra of Dillon and Patterson-Wiedemann type Boolean Functions
In this paper we study the additive crosscorrelation spectra between two Boolean functions whose supports are union of certain cosets. These functions on even number of input variables have been introduced by Dillon and we refer to them as Dillon type functions. Our general result shows that the crosscorrelation spectra between any two Dillon type functions are at most 5-valued. As a consequenc...
متن کاملEstimating positions of multiple adjacent speakers based on MUSIC spectra correlation using a microphone array
In this paper, we propose an improved method of estimating the positions of two speakers using a microphone array. A well-known method, MUSIC, can be used to estimate speaker positions with high precision. However, in the special case that the speakers are closely located, the conventional MUSIC-based method sometimes fails to identify the existence of certain speakers, because close peaks in t...
متن کامل