The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In order to automatically extract the main melody contours from polyphonic music especially vocal melody songs, we present an effective approach based on a Bayesian framework. According to various information from the music signals, we use a pitch evolution model describing how pitch contour changes and an acoustic model representing the acoustic characteristics when the pitch is a hypothesized one,...
We propose a technique for the automatic vocal segments detection in an acoustical polyphonic music signal. We use a combination of several characteristics specific to singing voice as the feature and employ a Gaussian Mixture Model (GMM) classifier for vocal and non-vocal classification. We have employed a pre-processing of spectral whitening and archived a performance of 81.3% over the RWC popular...
In this paper, a two-microphone based voice activity detection (VAD) algorithm is proposed to detect the distant-talking speech coming randomly from a wide range of direction of arrival (DOA). The long-term information of inter-channel phase difference (LTIPD) is introduced as a target speech existence measure, which describes the concentration degree of DOA estimations on a sound source with harmonic...
This paper proposes a novel feature set for robust speaker recognition, which is based on the harmonic structure of speech signals. Channel modulation effects are supposed to be weakened in the harmonic structure features, and furthermore the influence introduced by channel variability could be diminished to a certain degree. Though experiment results show that the raw performance of the harmonic...
Sustained vowel analysis is an important method in disordered voice evaluation. Conventional method generally depends on pitch detection, which may be invalid in hoarse or seriously disordered vowel samples analysis. In our vowel analysis, correlogram and cross-channel correlation in auditory model are proposed as a robust and accurate criterion. Instead of manual selection, a method of selecting...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.