Multiple Fundamental Frequency Estimation Based on Spectral Pattern Loudness and Smoothness
نویسندگان
چکیده
Two multiple fundamental frequency estimation systems are presented in this work. In the first one (PI1, PI2), the best fundamental frequency candidates combination is found in a frame-by-frame analysis by applying a set of rules, taking into account the spectral smoothness measure described in this work. The second system (PI3) was used to extract symbolic features for audio genre classification in a fast way, so the evaluation of this system can reveal the potential of another similar approaches to support these kind of tasks.
منابع مشابه
Multiple fundamental frequency estimation based on harmonicity and spectral smoothness
A new method for estimating the fundamental frequencies of concurrent musical sounds is described. The method is based on an iterative approach, where the fundamental frequency of the most prominent sound is estimated, the sound is subtracted from the mixture, and the process is repeated for the residual signal. For the estimation stage, an algorithm is proposed which utilizes the frequency rel...
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 کاملA Novel Sampling Approach in GNSS-RO Receivers with Open Loop Tracking Method
Propagation of radio occultation (RO) signals through the lower troposphere results in high phase acceleration and low signal to noise ratio signal. The excess Doppler estimation accuracy in lower troposphere is very important in receiving RO signals which can be estimated by sliding window spectral analysis. To do this, various frequency estimation methods such as MUSIC and ESPRIT can be adopt...
متن کاملEfficient methods for joint estimation of multiple fundamental frequencies in music signals
This study presents efficient techniques for multiple fundamental frequency estimation in music signals. The proposed methodology can infer harmonic patterns from a mixture considering interactions with other sources and evaluate them in a joint estimation scheme. For this purpose, a set of fundamental frequency candidates are first selected at each frame, and several hypothetical combinations ...
متن کاملMultiple-F0 estimation of piano sounds exploiting spectral structure and temporal evolution
This paper proposes a system for multiple fundamental frequency estimation of piano sounds using pitch candidate selection rules which employ spectral structure and temporal evolution. As a time-frequency representation, the Resonator TimeFrequency Image of the input signal is employed, a noise suppression model is used, and a spectral whitening procedure is performed. In addition, a spectral f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007