Joint f0 and inharmoncity estimation using second order optimization
نویسندگان
چکیده
A new method is presented for the joint estimation of the inharmonicity coefficient and the fundamental frequency of inharmonic instrument sounds. The proposed method iteratively uses a peak selection algorithm and a joint parameters estimation method based on nonlinear optimization. We further introduce an adapted tessitura model to evaluate our proposed method for piano sounds and to compare it with state-of-the-art techniques.
منابع مشابه
Joint inversion of ReMi dispersion curves and refraction travel times using particle swarm optimization algorithm
Shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. However, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. In order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (PSO) algorithm. The ...
متن کاملParameter estimation method of F0 control model for singing voices
In this paper, we propose a novel representation of F0 contours that provides a computationally efficient algorithm for automatically estimating the parameters of a F0 control model for singing voices. Although the best known F0 control model, based on a second-order system with a piece-wise constant function as its input, can generate F0 contours of natural singing voices, this model has no me...
متن کاملRecurrent Timing Neural Networks for Joint F0-Localisation Estimation
A novel extension to recurrent timing neural networks (RTNNs) is proposed which allows such networks to exploit a joint interaural time difference-fundamental frequency (ITD-F0) auditory cue as opposed to F0 only. This extension involves coupling a second layer of coincidence detectors to a two-dimensional RTNN. The coincidence detectors are tuned to particular ITDs and each feeds excitation to...
متن کاملEvaluation of Joint Position-Pitch Estimation Algorithm for Localising Multiple Speakers in Adverse Acoustical Environments
Automatic speaker localisation, detection and tracking are important challenges in multi-channel hands-free communication systems. In particular, simultaneous localisation of different speakers is of great interest for multi-microphone noise reduction schemes. Besides position, another possible feature to distinguish between different speakers is the fundamental frequency (pitch) of the speaker...
متن کاملStatistical modeling of F0 dynamics in singing voices based on Gaussian processes with multiple oscillation bases
We present a novel statistical model for dynamics of various singing behaviors, such as vibrato and overshoot, in a fundamental frequency (F0) contour. These dynamics are the important cues for perceiving individuality of a singer, and can be a useful measure for various applications, such as singing skill evaluation and singing voice synthesis. While most previous studies have modeled the dyna...
متن کامل